Pandas Profiling Report

Dataset statistics

Number of variables	71
Number of observations	269
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	60
Duplicate rows (%)	22.3%
Total size in memory	149.3 KiB
Average record size in memory	568.5 B

Variable types

Categorical	70
Numeric	1

Alerts

Dataset has 60 (22.3%) duplicate rows	Duplicates
`Website access speed` is highly correlated with `Ease of access on GUI of website` and 61 other fields	High correlation
`Ease of access on GUI of website` is highly correlated with `Website access speed` and 40 other fields	High correlation
`User satisfaction` is highly correlated with `List of online shopping websites` and 23 other fields	High correlation
`List of online shopping websites` is highly correlated with `Website access speed` and 59 other fields	High correlation
`Issue accessing multiple pages of a website` is highly correlated with `Website access speed` and 54 other fields	High correlation
`Importance of product comparison content` is highly correlated with `Website access speed` and 40 other fields	High correlation
`Importance of seller and product detail for purchase decision` is highly correlated with `Website access speed` and 42 other fields	High correlation
`Screen size of mobile` is highly correlated with `Website access speed` and 26 other fields	High correlation
`Variety of products on offer` is highly correlated with `Website access speed` and 52 other fields	High correlation
`Limited mode of payment on special offer days` is highly correlated with `Website access speed` and 58 other fields	High correlation
`Change in GUI` is highly correlated with `Website access speed` and 39 other fields	High correlation
`Monetary savings` is highly correlated with `Website access speed` and 30 other fields	High correlation
`Operating System` is highly correlated with `Website access speed` and 29 other fields	High correlation
`Wide range of products` is highly correlated with `Website access speed` and 28 other fields	High correlation
`User satisfaction with trust factor` is highly correlated with `Website access speed` and 37 other fields	High correlation
`Privacy guarantee of the customer` is highly correlated with `Website access speed` and 34 other fields	High correlation
`Time to load website on special offer days` is highly correlated with `Website access speed` and 61 other fields	High correlation
`Website layout` is highly correlated with `Website access speed` and 59 other fields	High correlation
`Offers and Discounts on online shopping` is highly correlated with `Website access speed` and 49 other fields	High correlation
`Browser` is highly correlated with `Website access speed` and 25 other fields	High correlation
`Reliability of website` is highly correlated with `Website access speed` and 61 other fields	High correlation
`Ease to complete purchase` is highly correlated with `Website access speed` and 57 other fields	High correlation
`Time to load media on special offer days` is highly correlated with `Website access speed` and 61 other fields	High correlation
`Empathy towards the customer` is highly correlated with `Website access speed` and 28 other fields	High correlation
`Gender` is highly correlated with `City`	High correlation
`Ease of navigation on website` is highly correlated with `Website access speed` and 31 other fields	High correlation
`Recommendation quotient` is highly correlated with `Website access speed` and 42 other fields	High correlation
`Flexibity in online shopping` is highly correlated with `Website access speed` and 33 other fields	High correlation
`Loyalty program benefits` is highly correlated with `Website access speed` and 28 other fields	High correlation
`Time to login website on special offer days` is highly correlated with `Website access speed` and 61 other fields	High correlation
`Quality of website content` is highly correlated with `Website access speed` and 33 other fields	High correlation
`Value for money` is highly correlated with `Website access speed` and 26 other fields	High correlation
`Enjoyment quotient in online shopping` is highly correlated with `Website access speed` and 46 other fields	High correlation
`Reason to abandon purchase from a cart` is highly correlated with `Website access speed` and 32 other fields	High correlation
`Clarity on relevant information for products` is highly correlated with `Website access speed` and 36 other fields	High correlation
`City` is highly correlated with `Gender` and 1 other fields	High correlation
`Fulfill roles from shopping` is highly correlated with `Website access speed` and 37 other fields	High correlation
`Trust worthiness` is highly correlated with `Website access speed` and 55 other fields	High correlation
`Frequency of purchase from a seller` is highly correlated with `Website access speed` and 31 other fields	High correlation
`Delayed product delivery` is highly correlated with `Website access speed` and 40 other fields	High correlation
`Ease of access on an online website` is highly correlated with `Website access speed` and 60 other fields	High correlation
`Shopping website content readability` is highly correlated with `Website access speed` and 35 other fields	High correlation
`Frequency to abandon purchase from a cart` is highly correlated with `Website access speed` and 23 other fields	High correlation
`Fast delivery` is highly correlated with `Website access speed` and 38 other fields	High correlation
`Time invested to explore and purchase` is highly correlated with `Website access speed` and 24 other fields	High correlation
`Social status` is highly correlated with `Website access speed` and 30 other fields	High correlation
`Net benefit` is highly correlated with `Website access speed` and 34 other fields	High correlation
`On time product delivery` is highly correlated with `Website access speed` and 37 other fields	High correlation
`Preferred payment option` is highly correlated with `Website access speed` and 24 other fields	High correlation
`Payment option availability` is highly correlated with `Website access speed` and 60 other fields	High correlation
`Online store access post 1st visit` is highly correlated with `Website access speed` and 45 other fields	High correlation
`Return and Replacement policy` is highly correlated with `Website access speed` and 31 other fields	High correlation
`Relevance in product details` is highly correlated with `Website access speed` and 31 other fields	High correlation
`Sense of adventure` is highly correlated with `Website access speed` and 30 other fields	High correlation
`Completeness of product description` is highly correlated with `Website access speed` and 54 other fields	High correlation
`Security on payment details` is highly correlated with `Website access speed` and 62 other fields	High correlation
`Customer privacy` is highly correlated with `Website access speed` and 61 other fields	High correlation
`Loading and processing speed of website` is highly correlated with `Website access speed` and 41 other fields	High correlation
`Convenient/Most used payment methods` is highly correlated with `Website access speed` and 36 other fields	High correlation
`29 Responsiveness, availability of several communication channels (email, online rep, twitter, phone etc.)` is highly correlated with `Website access speed` and 26 other fields	High correlation
`Delay in declaring special offer details` is highly correlated with `Website access speed` and 48 other fields	High correlation
`Online presence of support team` is highly correlated with `Website access speed` and 56 other fields	High correlation
`Efficiency of website at all times` is highly correlated with `Website access speed` and 55 other fields	High correlation
`Device used for internet access` is highly correlated with `Website access speed` and 33 other fields	High correlation
`Channel used for 1st visit` is highly correlated with `Website access speed` and 20 other fields	High correlation
`Pleasure in shopping from a seller` is highly correlated with `Website access speed` and 43 other fields	High correlation
`Gender` is highly correlated with `City` and 5 other fields	High correlation
`Age` is highly correlated with `City` and 26 other fields	High correlation
`City` is highly correlated with `Gender` and 61 other fields	High correlation
`Pin Code` is highly correlated with `Age` and 28 other fields	High correlation
`Online Shopping Duration` is highly correlated with `City` and 17 other fields	High correlation
`Online purchase in past 1 year` is highly correlated with `City` and 13 other fields	High correlation
`Mode of internet access` is highly correlated with `City` and 17 other fields	High correlation
`Device used for internet access` is highly correlated with `Mode of internet access` and 51 other fields	High correlation
`Screen size of mobile` is highly correlated with `City` and 45 other fields	High correlation
`Operating System` is highly correlated with `Device used for internet access` and 44 other fields	High correlation
`Browser` is highly correlated with `City` and 49 other fields	High correlation
`Channel used for 1st visit` is highly correlated with `City` and 37 other fields	High correlation
`Online store access post 1st visit` is highly correlated with `Age` and 63 other fields	High correlation
`Time invested to explore and purchase` is highly correlated with `Age` and 51 other fields	High correlation
`Preferred payment option` is highly correlated with `City` and 36 other fields	High correlation
`Frequency to abandon purchase from a cart` is highly correlated with `Device used for internet access` and 42 other fields	High correlation
`Reason to abandon purchase from a cart` is highly correlated with `Age` and 53 other fields	High correlation
`Shopping website content readability` is highly correlated with `City` and 55 other fields	High correlation
`Importance of product comparison content` is highly correlated with `City` and 56 other fields	High correlation
`Importance of seller and product detail for purchase decision` is highly correlated with `Age` and 56 other fields	High correlation
`Clarity on relevant information for products` is highly correlated with `City` and 54 other fields	High correlation
`Ease of navigation on website` is highly correlated with `City` and 50 other fields	High correlation
`Loading and processing speed of website` is highly correlated with `Age` and 57 other fields	High correlation
`Ease of access on GUI of website` is highly correlated with `City` and 56 other fields	High correlation
`Convenient/Most used payment methods` is highly correlated with `City` and 54 other fields	High correlation
`On time product delivery` is highly correlated with `City` and 54 other fields	High correlation
`Empathy towards the customer` is highly correlated with `Device used for internet access` and 49 other fields	High correlation
`Privacy guarantee of the customer` is highly correlated with `Device used for internet access` and 51 other fields	High correlation
`29 Responsiveness, availability of several communication channels (email, online rep, twitter, phone etc.)` is highly correlated with `Gender` and 49 other fields	High correlation
`Offers and Discounts on online shopping` is highly correlated with `Age` and 59 other fields	High correlation
`Enjoyment quotient in online shopping` is highly correlated with `Age` and 61 other fields	High correlation
`Flexibity in online shopping` is highly correlated with `Mode of internet access` and 51 other fields	High correlation
`Return and Replacement policy` is highly correlated with `Operating System` and 46 other fields	High correlation
`Loyalty program benefits` is highly correlated with `City` and 54 other fields	High correlation
`Quality of website content` is highly correlated with `City` and 46 other fields	High correlation
`User satisfaction` is highly correlated with `Operating System` and 41 other fields	High correlation
`Net benefit` is highly correlated with `Gender` and 57 other fields	High correlation
`User satisfaction with trust factor` is highly correlated with `Age` and 55 other fields	High correlation
`Wide range of products` is highly correlated with `City` and 49 other fields	High correlation
`Relevance in product details` is highly correlated with `Gender` and 48 other fields	High correlation
`Monetary savings` is highly correlated with `City` and 50 other fields	High correlation
`Frequency of purchase from a seller` is highly correlated with `City` and 45 other fields	High correlation
`Sense of adventure` is highly correlated with `City` and 51 other fields	High correlation
`Social status` is highly correlated with `City` and 54 other fields	High correlation
`Pleasure in shopping from a seller` is highly correlated with `Age` and 55 other fields	High correlation
`Fulfill roles from shopping` is highly correlated with `Age` and 53 other fields	High correlation
`Value for money` is highly correlated with `City` and 46 other fields	High correlation
`List of online shopping websites` is highly correlated with `Age` and 65 other fields	High correlation
`Ease of access on an online website` is highly correlated with `Gender` and 68 other fields	High correlation
`Website layout` is highly correlated with `Gender` and 69 other fields	High correlation
`Variety of products on offer` is highly correlated with `Age` and 67 other fields	High correlation
`Completeness of product description` is highly correlated with `Age` and 68 other fields	High correlation
`Website access speed` is highly correlated with `Age` and 67 other fields	High correlation
`Reliability of website` is highly correlated with `Age` and 67 other fields	High correlation
`Ease to complete purchase` is highly correlated with `Age` and 65 other fields	High correlation
`Payment option availability` is highly correlated with `Age` and 68 other fields	High correlation
`Fast delivery` is highly correlated with `City` and 59 other fields	High correlation
`Customer privacy` is highly correlated with `Age` and 67 other fields	High correlation
`Security on payment details` is highly correlated with `Age` and 67 other fields	High correlation
`Trust worthiness` is highly correlated with `City` and 64 other fields	High correlation
`Online presence of support team` is highly correlated with `Age` and 68 other fields	High correlation
`Time to login website on special offer days` is highly correlated with `Age` and 67 other fields	High correlation
`Time to load media on special offer days` is highly correlated with `Age` and 67 other fields	High correlation
`Delay in declaring special offer details` is highly correlated with `City` and 65 other fields	High correlation
`Time to load website on special offer days` is highly correlated with `Age` and 67 other fields	High correlation
`Limited mode of payment on special offer days` is highly correlated with `City` and 63 other fields	High correlation
`Delayed product delivery` is highly correlated with `City` and 62 other fields	High correlation
`Change in GUI` is highly correlated with `City` and 61 other fields	High correlation
`Issue accessing multiple pages of a website` is highly correlated with `City` and 65 other fields	High correlation
`Efficiency of website at all times` is highly correlated with `City` and 63 other fields	High correlation
`Recommendation quotient` is highly correlated with `City` and 64 other fields	High correlation

Reproduction

Analysis started	2022-06-09 16:07:35.231542
Analysis finished	2022-06-09 16:07:58.166445
Duration	22.93 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Gender
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Female	181
Male	88

Length

Max length	6
Median length	6
Mean length	5.345724907
Min length	4

Characters and Unicode

Total characters	1438
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Male
2nd row	Female
3rd row	Female
4th row	Male
5th row	Female

Common Values

Value	Count	Frequency (%)
Female	181	67.3%
Male	88	32.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
female	181	67.3%
male	88	32.7%

Most occurring characters

Value	Count	Frequency (%)
e	450	31.3%
a	269	18.7%
l	269	18.7%
F	181	12.6%
m	181	12.6%
M	88	6.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1169	81.3%
Uppercase Letter	269	18.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	450	38.5%
a	269	23.0%
l	269	23.0%
m	181	15.5%

Uppercase Letter

Value	Count	Frequency (%)
F	181	67.3%
M	88	32.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1438	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	450	31.3%
a	269	18.7%
l	269	18.7%
F	181	12.6%
m	181	12.6%
M	88	6.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1438	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	450	31.3%
a	269	18.7%
l	269	18.7%
F	181	12.6%
m	181	12.6%
M	88	6.1%

Age
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

31-40 years	81
21-30 years	79
41-50 yaers	70
Less than 20 years	20
51 years and above	19

Length

Max length	18
Median length	11
Mean length	12.01486989
Min length	11

Characters and Unicode

Total characters	3232
Distinct characters	21
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	31-40 years
2nd row	21-30 years
3rd row	21-30 years
4th row	21-30 years
5th row	21-30 years

Common Values

Value	Count	Frequency (%)
31-40 years	81	30.1%
21-30 years	79	29.4%
41-50 yaers	70	26.0%
Less than 20 years	20	7.4%
51 years and above	19	7.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
years	199	32.3%
31-40	81	13.1%
21-30	79	12.8%
41-50	70	11.4%
yaers	70	11.4%
less	20	3.2%
than	20	3.2%
20	20	3.2%
51	19	3.1%
and	19	3.1%

Most occurring characters

Value	Count	Frequency (%)
	347	10.7%
a	327	10.1%
s	309	9.6%
e	308	9.5%
r	269	8.3%
y	269	8.3%
0	250	7.7%
1	249	7.7%
-	230	7.1%
3	160	5.0%
Other values (11)	514	15.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1637	50.6%
Decimal Number	998	30.9%
Space Separator	347	10.7%
Dash Punctuation	230	7.1%
Uppercase Letter	20	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	327	20.0%
s	309	18.9%
e	308	18.8%
r	269	16.4%
y	269	16.4%
n	39	2.4%
t	20	1.2%
h	20	1.2%
d	19	1.2%
b	19	1.2%
Other values (2)	38	2.3%

Decimal Number

Value	Count	Frequency (%)
0	250	25.1%
1	249	24.9%
3	160	16.0%
4	151	15.1%
2	99	9.9%
5	89	8.9%

Space Separator

Value	Count	Frequency (%)
	347	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	230	100.0%

Uppercase Letter

Value	Count	Frequency (%)
L	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1657	51.3%
Common	1575	48.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	327	19.7%
s	309	18.6%
e	308	18.6%
r	269	16.2%
y	269	16.2%
n	39	2.4%
L	20	1.2%
t	20	1.2%
h	20	1.2%
d	19	1.1%
Other values (3)	57	3.4%

Common

Value	Count	Frequency (%)
	347	22.0%
0	250	15.9%
1	249	15.8%
-	230	14.6%
3	160	10.2%
4	151	9.6%
2	99	6.3%
5	89	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3232	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	347	10.7%
a	327	10.1%
s	309	9.6%
e	308	9.5%
r	269	8.3%
y	269	8.3%
0	250	7.7%
1	249	7.7%
-	230	7.1%
3	160	5.0%
Other values (11)	514	15.9%

City
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Delhi	58
Greater Noida	43
Noida	40
Bangalore	37
Karnal	27
Other values (6)	64

Length

Max length	13
Median length	11
Mean length	7.721189591
Min length	5

Characters and Unicode

Total characters	2077
Distinct characters	23
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Delhi
2nd row	Delhi
3rd row	Greater Noida
4th row	Karnal
5th row	Bangalore

Common Values

Value	Count	Frequency (%)
Delhi	58	21.6%
Greater Noida	43	16.0%
Noida	40	14.9%
Bangalore	37	13.8%
Karnal	27	10.0%
Solan	18	6.7%
Ghaziabad	18	6.7%
Gurgaon	12	4.5%
Merrut	9	3.3%
Moradabad	5	1.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
noida	83	26.6%
delhi	58	18.6%
greater	43	13.8%
bangalore	37	11.9%
karnal	27	8.7%
solan	18	5.8%
ghaziabad	18	5.8%
gurgaon	12	3.8%
merrut	9	2.9%
moradabad	5	1.6%

Most occurring characters

Value	Count	Frequency (%)
a	357	17.2%
e	190	9.1%
r	187	9.0%
i	159	7.7%
o	155	7.5%
l	142	6.8%
	119	5.7%
d	113	5.4%
n	96	4.6%
N	83	4.0%
Other values (13)	476	22.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1646	79.2%
Uppercase Letter	312	15.0%
Space Separator	119	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	357	21.7%
e	190	11.5%
r	187	11.4%
i	159	9.7%
o	155	9.4%
l	142	8.6%
d	113	6.9%
n	96	5.8%
h	80	4.9%
t	52	3.2%
Other values (5)	115	7.0%

Uppercase Letter

Value	Count	Frequency (%)
N	83	26.6%
G	73	23.4%
D	58	18.6%
B	39	12.5%
K	27	8.7%
S	18	5.8%
M	14	4.5%

Space Separator

Value	Count	Frequency (%)
	119	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1958	94.3%
Common	119	5.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	357	18.2%
e	190	9.7%
r	187	9.6%
i	159	8.1%
o	155	7.9%
l	142	7.3%
d	113	5.8%
n	96	4.9%
N	83	4.2%
h	80	4.1%
Other values (12)	396	20.2%

Common

Value	Count	Frequency (%)
	119	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2077	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	357	17.2%
e	190	9.1%
r	187	9.0%
i	159	7.7%
o	155	7.5%
l	142	6.8%
	119	5.7%
d	113	5.4%
n	96	4.6%
N	83	4.0%
Other values (13)	476	22.9%

Pin Code
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	39
Distinct (%)	14.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	220465.7472

Minimum	110008
Maximum	560037
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	2.2 KiB

Quantile statistics

Minimum	110008
5-th percentile	110011
Q1	122018
median	201303
Q3	201310
95-th percentile	560013
Maximum	560037
Range	450029
Interquartile range (IQR)	79292

Descriptive statistics

Standard deviation	140524.3411
Coefficient of variation (CV)	0.6373976131
Kurtosis	1.690834547
Mean	220465.7472
Median Absolute Deviation (MAD)	48698
Skewness	1.748322464
Sum	59305286
Variance	1.974709043 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=39)

Value	Count	Frequency (%)
201308	38	14.1%
132001	19	7.1%
201310	18	6.7%
110044	16	5.9%
250001	9	3.3%
173229	9	3.3%
173212	9	3.3%
560010	8	3.0%
132036	8	3.0%
122018	8	3.0%
Other values (29)	127	47.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
110008	7	2.6%
110009	4	1.5%
110011	7	2.6%
110014	6	2.2%
110018	6	2.2%
110030	4	1.5%
110039	4	1.5%
110042	4	1.5%
110044	16	5.9%
122009	4	1.5%

Value	Count	Frequency (%)
560037	8	3.0%
560018	4	1.5%
560013	3	1.1%
560010	8	3.0%
560003	4	1.5%
560002	4	1.5%
560001	1	0.4%
530068	5	1.9%
250001	9	3.3%
244001	5	1.9%

Online Shopping Duration
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Above 4 years	98
2-3 years	65
3-4 years	47
Less than 1 year	43
1-2 years	16

Length

Max length	16
Median length	13
Mean length	11.57620818
Min length	9

Characters and Unicode

Total characters	3114
Distinct characters	19
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Above 4 years
2nd row	Above 4 years
3rd row	3-4 years
4th row	3-4 years
5th row	2-3 years

Common Values

Value	Count	Frequency (%)
Above 4 years	98	36.4%
2-3 years	65	24.2%
3-4 years	47	17.5%
Less than 1 year	43	16.0%
1-2 years	16	5.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
years	226	31.3%
above	98	13.6%
4	98	13.6%
2-3	65	9.0%
3-4	47	6.5%
less	43	6.0%
than	43	6.0%
1	43	6.0%
year	43	6.0%
1-2	16	2.2%

Most occurring characters

Value	Count	Frequency (%)
	453	14.5%
e	410	13.2%
s	312	10.0%
a	312	10.0%
r	269	8.6%
y	269	8.6%
4	145	4.7%
-	128	4.1%
3	112	3.6%
A	98	3.1%
Other values (9)	606	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1995	64.1%
Space Separator	453	14.5%
Decimal Number	397	12.7%
Uppercase Letter	141	4.5%
Dash Punctuation	128	4.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	410	20.6%
s	312	15.6%
a	312	15.6%
r	269	13.5%
y	269	13.5%
b	98	4.9%
v	98	4.9%
o	98	4.9%
t	43	2.2%
h	43	2.2%

Decimal Number

Value	Count	Frequency (%)
4	145	36.5%
3	112	28.2%
2	81	20.4%
1	59	14.9%

Uppercase Letter

Value	Count	Frequency (%)
A	98	69.5%
L	43	30.5%

Space Separator

Value	Count	Frequency (%)
	453	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	128	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2136	68.6%
Common	978	31.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	410	19.2%
s	312	14.6%
a	312	14.6%
r	269	12.6%
y	269	12.6%
A	98	4.6%
b	98	4.6%
v	98	4.6%
o	98	4.6%
L	43	2.0%
Other values (3)	129	6.0%

Common

Value	Count	Frequency (%)
	453	46.3%
4	145	14.8%
-	128	13.1%
3	112	11.5%
2	81	8.3%
1	59	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3114	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	453	14.5%
e	410	13.2%
s	312	10.0%
a	312	10.0%
r	269	8.6%
y	269	8.6%
4	145	4.7%
-	128	4.1%
3	112	3.6%
A	98	3.1%
Other values (9)	606	19.5%

Online purchase in past 1 year
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Less than 10 times	114
31-40 times	63
41 times and above	47
11-20 times	29
21-30 times	10

Length

Max length	18
Median length	18
Mean length	15.34572491
Min length	11

Characters and Unicode

Total characters	4128
Distinct characters	20
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	31-40 times
2nd row	41 times and above
3rd row	41 times and above
4th row	Less than 10 times
5th row	11-20 times

Common Values

Value	Count	Frequency (%)
Less than 10 times	114	42.4%
31-40 times	63	23.4%
41 times and above	47	17.5%
11-20 times	29	10.8%
21-30 times	10	3.7%
42 times and above	6	2.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
times	269	30.8%
less	114	13.1%
than	114	13.1%
10	114	13.1%
31-40	63	7.2%
and	53	6.1%
above	53	6.1%
41	47	5.4%
11-20	29	3.3%
21-30	10	1.1%

Most occurring characters

Value	Count	Frequency (%)
	603	14.6%
s	497	12.0%
e	436	10.6%
t	383	9.3%
1	292	7.1%
i	269	6.5%
m	269	6.5%
a	220	5.3%
0	216	5.2%
n	167	4.0%
Other values (10)	776	18.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2567	62.2%
Decimal Number	742	18.0%
Space Separator	603	14.6%
Uppercase Letter	114	2.8%
Dash Punctuation	102	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	497	19.4%
e	436	17.0%
t	383	14.9%
i	269	10.5%
m	269	10.5%
a	220	8.6%
n	167	6.5%
h	114	4.4%
d	53	2.1%
b	53	2.1%
Other values (2)	106	4.1%

Decimal Number

Value	Count	Frequency (%)
1	292	39.4%
0	216	29.1%
4	116	15.6%
3	73	9.8%
2	45	6.1%

Space Separator

Value	Count	Frequency (%)
	603	100.0%

Uppercase Letter

Value	Count	Frequency (%)
L	114	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	102	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2681	64.9%
Common	1447	35.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	497	18.5%
e	436	16.3%
t	383	14.3%
i	269	10.0%
m	269	10.0%
a	220	8.2%
n	167	6.2%
L	114	4.3%
h	114	4.3%
d	53	2.0%
Other values (3)	159	5.9%

Common

Value	Count	Frequency (%)
	603	41.7%
1	292	20.2%
0	216	14.9%
4	116	8.0%
-	102	7.0%
3	73	5.0%
2	45	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4128	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	603	14.6%
s	497	12.0%
e	436	10.6%
t	383	9.3%
1	292	7.1%
i	269	6.5%
m	269	6.5%
a	220	5.3%
0	216	5.2%
n	167	4.0%
Other values (10)	776	18.8%

Mode of internet access
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Mobile internet	142
Wi-Fi	76
Mobile Internet	47
Dial-up	4

Length

Max length	15
Median length	15
Mean length	12.05576208
Min length	5

Characters and Unicode

Total characters	3243
Distinct characters	18
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dial-up
2nd row	Wi-Fi
3rd row	Mobile Internet
4th row	Mobile Internet
5th row	Wi-Fi

Common Values

Value	Count	Frequency (%)
Mobile internet	142	52.8%
Wi-Fi	76	28.3%
Mobile Internet	47	17.5%
Dial-up	4	1.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mobile	189	41.3%
internet	189	41.3%
wi-fi	76	16.6%
dial-up	4	0.9%

Most occurring characters

Value	Count	Frequency (%)
e	567	17.5%
i	487	15.0%
n	378	11.7%
t	378	11.7%
l	193	6.0%
M	189	5.8%
o	189	5.8%
r	189	5.8%
	189	5.8%
b	189	5.8%
Other values (8)	295	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2582	79.6%
Uppercase Letter	392	12.1%
Space Separator	189	5.8%
Dash Punctuation	80	2.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	567	22.0%
i	487	18.9%
n	378	14.6%
t	378	14.6%
l	193	7.5%
o	189	7.3%
r	189	7.3%
b	189	7.3%
a	4	0.2%
u	4	0.2%

Uppercase Letter

Value	Count	Frequency (%)
M	189	48.2%
W	76	19.4%
F	76	19.4%
I	47	12.0%
D	4	1.0%

Space Separator

Value	Count	Frequency (%)
	189	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2974	91.7%
Common	269	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	567	19.1%
i	487	16.4%
n	378	12.7%
t	378	12.7%
l	193	6.5%
M	189	6.4%
o	189	6.4%
r	189	6.4%
b	189	6.4%
W	76	2.6%
Other values (6)	139	4.7%

Common

Value	Count	Frequency (%)
	189	70.3%
-	80	29.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3243	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	567	17.5%
i	487	15.0%
n	378	11.7%
t	378	11.7%
l	193	6.0%
M	189	5.8%
o	189	5.8%
r	189	5.8%
	189	5.8%
b	189	5.8%
Other values (8)	295	9.1%

Device used for internet access
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Smartphone	141
Laptop	86
Desktop	30
Tablet	12

Length

Max length	10
Median length	10
Mean length	8.208178439
Min length	6

Characters and Unicode

Total characters	2208
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Desktop
2nd row	Smartphone
3rd row	Smartphone
4th row	Smartphone
5th row	Smartphone

Common Values

Value	Count	Frequency (%)
Smartphone	141	52.4%
Laptop	86	32.0%
Desktop	30	11.2%
Tablet	12	4.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
smartphone	141	52.4%
laptop	86	32.0%
desktop	30	11.2%
tablet	12	4.5%

Most occurring characters

Value	Count	Frequency (%)
p	343	15.5%
t	269	12.2%
o	257	11.6%
a	239	10.8%
e	183	8.3%
S	141	6.4%
m	141	6.4%
n	141	6.4%
h	141	6.4%
r	141	6.4%
Other values (7)	212	9.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1939	87.8%
Uppercase Letter	269	12.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	343	17.7%
t	269	13.9%
o	257	13.3%
a	239	12.3%
e	183	9.4%
m	141	7.3%
n	141	7.3%
h	141	7.3%
r	141	7.3%
s	30	1.5%
Other values (3)	54	2.8%

Uppercase Letter

Value	Count	Frequency (%)
S	141	52.4%
L	86	32.0%
D	30	11.2%
T	12	4.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2208	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
p	343	15.5%
t	269	12.2%
o	257	11.6%
a	239	10.8%
e	183	8.3%
S	141	6.4%
m	141	6.4%
n	141	6.4%
h	141	6.4%
r	141	6.4%
Other values (7)	212	9.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2208	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
p	343	15.5%
t	269	12.2%
o	257	11.6%
a	239	10.8%
e	183	8.3%
S	141	6.4%
m	141	6.4%
n	141	6.4%
h	141	6.4%
r	141	6.4%
Other values (7)	212	9.6%

Screen size of mobile
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Others	134
5.5 inches	99
4.7 inches	29
5 inches	7

Length

Max length	10
Median length	8
Mean length	7.955390335
Min length	6

Characters and Unicode

Total characters	2140
Distinct characters	14
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Others
2nd row	4.7 inches
3rd row	5.5 inches
4th row	5.5 inches
5th row	4.7 inches

Common Values

Value	Count	Frequency (%)
Others	134	49.8%
5.5 inches	99	36.8%
4.7 inches	29	10.8%
5 inches	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
inches	135	33.4%
others	134	33.2%
5.5	99	24.5%
4.7	29	7.2%
5	7	1.7%

Most occurring characters

Value	Count	Frequency (%)
h	269	12.6%
e	269	12.6%
s	269	12.6%
5	205	9.6%
	135	6.3%
i	135	6.3%
n	135	6.3%
c	135	6.3%
O	134	6.3%
t	134	6.3%
Other values (4)	320	15.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1480	69.2%
Decimal Number	263	12.3%
Space Separator	135	6.3%
Uppercase Letter	134	6.3%
Other Punctuation	128	6.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
h	269	18.2%
e	269	18.2%
s	269	18.2%
i	135	9.1%
n	135	9.1%
c	135	9.1%
t	134	9.1%
r	134	9.1%

Decimal Number

Value	Count	Frequency (%)
5	205	77.9%
4	29	11.0%
7	29	11.0%

Space Separator

Value	Count	Frequency (%)
	135	100.0%

Uppercase Letter

Value	Count	Frequency (%)
O	134	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	128	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1614	75.4%
Common	526	24.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
h	269	16.7%
e	269	16.7%
s	269	16.7%
i	135	8.4%
n	135	8.4%
c	135	8.4%
O	134	8.3%
t	134	8.3%
r	134	8.3%

Common

Value	Count	Frequency (%)
5	205	39.0%
	135	25.7%
.	128	24.3%
4	29	5.5%
7	29	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2140	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
h	269	12.6%
e	269	12.6%
s	269	12.6%
5	205	9.6%
	135	6.3%
i	135	6.3%
n	135	6.3%
c	135	6.3%
O	134	6.3%
t	134	6.3%
Other values (4)	320	15.0%

Operating System
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Window/windows Mobile	122
Android	85
IOS/Mac	62

Length

Max length	21
Median length	7
Mean length	13.34944238
Min length	7

Characters and Unicode

Total characters	3591
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Window/windows Mobile
2nd row	IOS/Mac
3rd row	Android
4th row	IOS/Mac
5th row	IOS/Mac

Common Values

Value	Count	Frequency (%)
Window/windows Mobile	122	45.4%
Android	85	31.6%
IOS/Mac	62	23.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
window/windows	122	31.2%
mobile	122	31.2%
android	85	21.7%
ios/mac	62	15.9%

Most occurring characters

Value	Count	Frequency (%)
i	451	12.6%
o	451	12.6%
d	414	11.5%
w	366	10.2%
n	329	9.2%
/	184	5.1%
M	184	5.1%
W	122	3.4%
e	122	3.4%
l	122	3.4%
Other values (10)	846	23.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2708	75.4%
Uppercase Letter	577	16.1%
Other Punctuation	184	5.1%
Space Separator	122	3.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	451	16.7%
o	451	16.7%
d	414	15.3%
w	366	13.5%
n	329	12.1%
e	122	4.5%
l	122	4.5%
b	122	4.5%
s	122	4.5%
r	85	3.1%
Other values (2)	124	4.6%

Uppercase Letter

Value	Count	Frequency (%)
M	184	31.9%
W	122	21.1%
A	85	14.7%
I	62	10.7%
O	62	10.7%
S	62	10.7%

Other Punctuation

Value	Count	Frequency (%)
/	184	100.0%

Space Separator

Value	Count	Frequency (%)
	122	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3285	91.5%
Common	306	8.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	451	13.7%
o	451	13.7%
d	414	12.6%
w	366	11.1%
n	329	10.0%
M	184	5.6%
W	122	3.7%
e	122	3.7%
l	122	3.7%
b	122	3.7%
Other values (8)	602	18.3%

Common

Value	Count	Frequency (%)
/	184	60.1%
	122	39.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3591	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	451	12.6%
o	451	12.6%
d	414	11.5%
w	366	10.2%
n	329	9.2%
/	184	5.1%
M	184	5.1%
W	122	3.4%
e	122	3.4%
l	122	3.4%
Other values (10)	846	23.6%

Browser
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Google chrome	216
Safari	40
Opera	8
Mozilla Firefox	5

Length

Max length	15
Median length	13
Mean length	11.75836431
Min length	5

Characters and Unicode

Total characters	3163
Distinct characters	20
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Google chrome
2nd row	Google chrome
3rd row	Google chrome
4th row	Safari
5th row	Safari

Common Values

Value	Count	Frequency (%)
Google chrome	216	80.3%
Safari	40	14.9%
Opera	8	3.0%
Mozilla Firefox	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
google	216	44.1%
chrome	216	44.1%
safari	40	8.2%
opera	8	1.6%
mozilla	5	1.0%
firefox	5	1.0%

Most occurring characters

Value	Count	Frequency (%)
o	658	20.8%
e	445	14.1%
r	269	8.5%
l	226	7.1%
	221	7.0%
G	216	6.8%
g	216	6.8%
c	216	6.8%
h	216	6.8%
m	216	6.8%
Other values (10)	264	8.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2668	84.4%
Uppercase Letter	274	8.7%
Space Separator	221	7.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	658	24.7%
e	445	16.7%
r	269	10.1%
l	226	8.5%
g	216	8.1%
c	216	8.1%
h	216	8.1%
m	216	8.1%
a	93	3.5%
i	50	1.9%
Other values (4)	63	2.4%

Uppercase Letter

Value	Count	Frequency (%)
G	216	78.8%
S	40	14.6%
O	8	2.9%
M	5	1.8%
F	5	1.8%

Space Separator

Value	Count	Frequency (%)
	221	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2942	93.0%
Common	221	7.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	658	22.4%
e	445	15.1%
r	269	9.1%
l	226	7.7%
G	216	7.3%
g	216	7.3%
c	216	7.3%
h	216	7.3%
m	216	7.3%
a	93	3.2%
Other values (9)	171	5.8%

Common

Value	Count	Frequency (%)
	221	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3163	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	658	20.8%
e	445	14.1%
r	269	8.5%
l	226	7.1%
	221	7.0%
G	216	6.8%
g	216	6.8%
c	216	6.8%
h	216	6.8%
m	216	6.8%
Other values (10)	264	8.3%

Channel used for 1st visit
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Search Engine	230
Content Marketing	20
Display Adverts	19

Length

Max length	17
Median length	13
Mean length	13.43866171
Min length	13

Characters and Unicode

Total characters	3615
Distinct characters	24
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Search Engine
2nd row	Search Engine
3rd row	Search Engine
4th row	Search Engine
5th row	Content Marketing

Common Values

Value	Count	Frequency (%)
Search Engine	230	85.5%
Content Marketing	20	7.4%
Display Adverts	19	7.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
search	230	42.8%
engine	230	42.8%
content	20	3.7%
marketing	20	3.7%
display	19	3.5%
adverts	19	3.5%

Most occurring characters

Value	Count	Frequency (%)
n	520	14.4%
e	519	14.4%
a	269	7.4%
r	269	7.4%
	269	7.4%
i	269	7.4%
g	250	6.9%
S	230	6.4%
c	230	6.4%
h	230	6.4%
Other values (14)	560	15.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2808	77.7%
Uppercase Letter	538	14.9%
Space Separator	269	7.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	520	18.5%
e	519	18.5%
a	269	9.6%
r	269	9.6%
i	269	9.6%
g	250	8.9%
c	230	8.2%
h	230	8.2%
t	79	2.8%
s	38	1.4%
Other values (7)	135	4.8%

Uppercase Letter

Value	Count	Frequency (%)
S	230	42.8%
E	230	42.8%
M	20	3.7%
C	20	3.7%
D	19	3.5%
A	19	3.5%

Space Separator

Value	Count	Frequency (%)
	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3346	92.6%
Common	269	7.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	520	15.5%
e	519	15.5%
a	269	8.0%
r	269	8.0%
i	269	8.0%
g	250	7.5%
S	230	6.9%
c	230	6.9%
h	230	6.9%
E	230	6.9%
Other values (13)	330	9.9%

Common

Value	Count	Frequency (%)
	269	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3615	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	520	14.4%
e	519	14.4%
a	269	7.4%
r	269	7.4%
	269	7.4%
i	269	7.4%
g	250	6.9%
S	230	6.4%
c	230	6.4%
h	230	6.4%
Other values (14)	560	15.5%

Online store access post 1st visit
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Search Engine	87
Via application	86
Direct URL	70
E-mail	18
Social Media	8

Length

Max length	15
Median length	13
Mean length	12.3605948
Min length	6

Characters and Unicode

Total characters	3325
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Search Engine
2nd row	Via application
3rd row	Via application
4th row	Search Engine
5th row	Via application

Common Values

Value	Count	Frequency (%)
Search Engine	87	32.3%
Via application	86	32.0%
Direct URL	70	26.0%
E-mail	18	6.7%
Social Media	8	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
search	87	16.7%
engine	87	16.7%
via	86	16.5%
application	86	16.5%
direct	70	13.5%
url	70	13.5%
e-mail	18	3.5%
social	8	1.5%
media	8	1.5%

Most occurring characters

Value	Count	Frequency (%)
i	449	13.5%
a	379	11.4%
n	260	7.8%
e	252	7.6%
c	251	7.5%
	251	7.5%
p	172	5.2%
r	157	4.7%
t	156	4.7%
l	112	3.4%
Other values (14)	886	26.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2482	74.6%
Uppercase Letter	574	17.3%
Space Separator	251	7.5%
Dash Punctuation	18	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	449	18.1%
a	379	15.3%
n	260	10.5%
e	252	10.2%
c	251	10.1%
p	172	6.9%
r	157	6.3%
t	156	6.3%
l	112	4.5%
o	94	3.8%
Other values (4)	200	8.1%

Uppercase Letter

Value	Count	Frequency (%)
E	105	18.3%
S	95	16.6%
V	86	15.0%
D	70	12.2%
U	70	12.2%
R	70	12.2%
L	70	12.2%
M	8	1.4%

Space Separator

Value	Count	Frequency (%)
	251	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3056	91.9%
Common	269	8.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	449	14.7%
a	379	12.4%
n	260	8.5%
e	252	8.2%
c	251	8.2%
p	172	5.6%
r	157	5.1%
t	156	5.1%
l	112	3.7%
E	105	3.4%
Other values (12)	763	25.0%

Common

Value	Count	Frequency (%)
	251	93.3%
-	18	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3325	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	449	13.5%
a	379	11.4%
n	260	7.8%
e	252	7.6%
c	251	7.5%
	251	7.5%
p	172	5.2%
r	157	4.7%
t	156	4.7%
l	112	3.4%
Other values (14)	886	26.6%

Time invested to explore and purchase
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

more than 15 mins	123
6-10 mins	71
11-15 mins	46
Less than 1 min	15
1-5 mins	14

Length

Max length	17
Median length	15
Mean length	13.11152416
Min length	8

Characters and Unicode

Total characters	3527
Distinct characters	17
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	6-10 mins
2nd row	more than 15 mins
3rd row	11-15 mins
4th row	6-10 mins
5th row	more than 15 mins

Common Values

Value	Count	Frequency (%)
more than 15 mins	123	45.7%
6-10 mins	71	26.4%
11-15 mins	46	17.1%
Less than 1 min	15	5.6%
1-5 mins	14	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
mins	254	31.2%
than	138	17.0%
more	123	15.1%
15	123	15.1%
6-10	71	8.7%
11-15	46	5.7%
less	15	1.8%
1	15	1.8%
min	15	1.8%
1-5	14	1.7%

Most occurring characters

Value	Count	Frequency (%)
	545	15.5%
n	407	11.5%
m	392	11.1%
1	361	10.2%
s	284	8.1%
i	269	7.6%
5	183	5.2%
e	138	3.9%
t	138	3.9%
h	138	3.9%
Other values (7)	672	19.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2150	61.0%
Decimal Number	686	19.4%
Space Separator	545	15.5%
Dash Punctuation	131	3.7%
Uppercase Letter	15	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	407	18.9%
m	392	18.2%
s	284	13.2%
i	269	12.5%
e	138	6.4%
t	138	6.4%
h	138	6.4%
a	138	6.4%
r	123	5.7%
o	123	5.7%

Decimal Number

Value	Count	Frequency (%)
1	361	52.6%
5	183	26.7%
6	71	10.3%
0	71	10.3%

Space Separator

Value	Count	Frequency (%)
	545	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	131	100.0%

Uppercase Letter

Value	Count	Frequency (%)
L	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2165	61.4%
Common	1362	38.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	407	18.8%
m	392	18.1%
s	284	13.1%
i	269	12.4%
e	138	6.4%
t	138	6.4%
h	138	6.4%
a	138	6.4%
r	123	5.7%
o	123	5.7%

Common

Value	Count	Frequency (%)
	545	40.0%
1	361	26.5%
5	183	13.4%
-	131	9.6%
6	71	5.2%
0	71	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3527	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	545	15.5%
n	407	11.5%
m	392	11.1%
1	361	10.2%
s	284	8.1%
i	269	7.6%
5	183	5.2%
e	138	3.9%
t	138	3.9%
h	138	3.9%
Other values (7)	672	19.1%

Preferred payment option
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Credit/Debit cards	148
Cash on delivery (CoD)	76
E-wallets (Paytm, Freecharge etc.)	45

Length

Max length	34
Median length	18
Mean length	21.80669145
Min length	18

Characters and Unicode

Total characters	5866
Distinct characters	30
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	E-wallets (Paytm, Freecharge etc.)
2nd row	Credit/Debit cards
3rd row	E-wallets (Paytm, Freecharge etc.)
4th row	Credit/Debit cards
5th row	Credit/Debit cards

Common Values

Value	Count	Frequency (%)
Credit/Debit cards	148	55.0%
Cash on delivery (CoD)	76	28.3%
E-wallets (Paytm, Freecharge etc.)	45	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
credit/debit	148	19.0%
cards	148	19.0%
cash	76	9.7%
on	76	9.7%
delivery	76	9.7%
cod	76	9.7%
e-wallets	45	5.8%
paytm	45	5.8%
freecharge	45	5.8%
etc	45	5.8%

Most occurring characters

Value	Count	Frequency (%)
e	673	11.5%
	511	8.7%
r	462	7.9%
t	431	7.3%
d	372	6.3%
i	372	6.3%
a	359	6.1%
C	300	5.1%
s	269	4.6%
c	238	4.1%
Other values (20)	1879	32.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4171	71.1%
Uppercase Letter	659	11.2%
Space Separator	511	8.7%
Other Punctuation	238	4.1%
Open Punctuation	121	2.1%
Close Punctuation	121	2.1%
Dash Punctuation	45	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	673	16.1%
r	462	11.1%
t	431	10.3%
d	372	8.9%
i	372	8.9%
a	359	8.6%
s	269	6.4%
c	238	5.7%
l	166	4.0%
o	152	3.6%
Other values (8)	677	16.2%

Uppercase Letter

Value	Count	Frequency (%)
C	300	45.5%
D	224	34.0%
E	45	6.8%
P	45	6.8%
F	45	6.8%

Other Punctuation

Value	Count	Frequency (%)
/	148	62.2%
,	45	18.9%
.	45	18.9%

Space Separator

Value	Count	Frequency (%)
	511	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	121	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	121	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4830	82.3%
Common	1036	17.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	673	13.9%
r	462	9.6%
t	431	8.9%
d	372	7.7%
i	372	7.7%
a	359	7.4%
C	300	6.2%
s	269	5.6%
c	238	4.9%
D	224	4.6%
Other values (13)	1130	23.4%

Common

Value	Count	Frequency (%)
	511	49.3%
/	148	14.3%
(	121	11.7%
)	121	11.7%
-	45	4.3%
,	45	4.3%
.	45	4.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5866	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	673	11.5%
	511	8.7%
r	462	7.9%
t	431	7.3%
d	372	6.3%
i	372	6.3%
a	359	6.1%
C	300	5.1%
s	269	4.6%
c	238	4.1%
Other values (20)	1879	32.0%

Frequency to abandon purchase from a cart
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Sometimes	171
Never	48
Frequently	35
Very frequently	15

Length

Max length	15
Median length	9
Mean length	8.750929368
Min length	5

Characters and Unicode

Total characters	2354
Distinct characters	19
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Sometimes
2nd row	Very frequently
3rd row	Sometimes
4th row	Never
5th row	Frequently

Common Values

Value	Count	Frequency (%)
Sometimes	171	63.6%
Never	48	17.8%
Frequently	35	13.0%
Very frequently	15	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
sometimes	171	60.2%
frequently	50	17.6%
never	48	16.9%
very	15	5.3%

Most occurring characters

Value	Count	Frequency (%)
e	553	23.5%
m	342	14.5%
t	221	9.4%
S	171	7.3%
o	171	7.3%
i	171	7.3%
s	171	7.3%
r	113	4.8%
y	65	2.8%
q	50	2.1%
Other values (9)	326	13.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2070	87.9%
Uppercase Letter	269	11.4%
Space Separator	15	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	553	26.7%
m	342	16.5%
t	221	10.7%
o	171	8.3%
i	171	8.3%
s	171	8.3%
r	113	5.5%
y	65	3.1%
q	50	2.4%
u	50	2.4%
Other values (4)	163	7.9%

Uppercase Letter

Value	Count	Frequency (%)
S	171	63.6%
N	48	17.8%
F	35	13.0%
V	15	5.6%

Space Separator

Value	Count	Frequency (%)
	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2339	99.4%
Common	15	0.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	553	23.6%
m	342	14.6%
t	221	9.4%
S	171	7.3%
o	171	7.3%
i	171	7.3%
s	171	7.3%
r	113	4.8%
y	65	2.8%
q	50	2.1%
Other values (8)	311	13.3%

Common

Value	Count	Frequency (%)
	15	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2354	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	553	23.5%
m	342	14.5%
t	221	9.4%
S	171	7.3%
o	171	7.3%
i	171	7.3%
s	171	7.3%
r	113	4.8%
y	65	2.8%
q	50	2.1%
Other values (9)	326	13.8%

Reason to abandon purchase from a cart
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Better alternative offer	133
Promo code not applicable	54
Change in price	37
Lack of trust	31
No preferred mode of payment	14

Length

Max length	28
Median length	25
Mean length	21.90334572
Min length	13

Characters and Unicode

Total characters	5892
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Lack of trust
2nd row	Promo code not applicable
3rd row	Promo code not applicable
4th row	Better alternative offer
5th row	Better alternative offer

Common Values

Value	Count	Frequency (%)
Better alternative offer	133	49.4%
Promo code not applicable	54	20.1%
Change in price	37	13.8%
Lack of trust	31	11.5%
No preferred mode of payment	14	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
better	133	15.0%
offer	133	15.0%
alternative	133	15.0%
promo	54	6.1%
code	54	6.1%
not	54	6.1%
applicable	54	6.1%
of	45	5.1%
price	37	4.2%
in	37	4.2%
Other values (7)	155	17.4%

Most occurring characters

Value	Count	Frequency (%)
e	917	15.6%
t	662	11.2%
	620	10.5%
r	563	9.6%
a	456	7.7%
o	422	7.2%
f	325	5.5%
n	275	4.7%
i	261	4.4%
l	241	4.1%
Other values (17)	1150	19.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5003	84.9%
Space Separator	620	10.5%
Uppercase Letter	269	4.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	917	18.3%
t	662	13.2%
r	563	11.3%
a	456	9.1%
o	422	8.4%
f	325	6.5%
n	275	5.5%
i	261	5.2%
l	241	4.8%
c	176	3.5%
Other values (11)	705	14.1%

Uppercase Letter

Value	Count	Frequency (%)
B	133	49.4%
P	54	20.1%
C	37	13.8%
L	31	11.5%
N	14	5.2%

Space Separator

Value	Count	Frequency (%)
	620	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5272	89.5%
Common	620	10.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	917	17.4%
t	662	12.6%
r	563	10.7%
a	456	8.6%
o	422	8.0%
f	325	6.2%
n	275	5.2%
i	261	5.0%
l	241	4.6%
c	176	3.3%
Other values (16)	974	18.5%

Common

Value	Count	Frequency (%)
	620	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5892	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	917	15.6%
t	662	11.2%
	620	10.5%
r	563	9.6%
a	456	7.7%
o	422	7.2%
f	325	5.5%
n	275	4.7%
i	261	4.4%
l	241	4.1%
Other values (17)	1150	19.5%

Shopping website content readability
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	164
Agree (4)	80
Strongly disagree (1)	18
Indifferent (3)	7

Length

Max length	21
Median length	18
Mean length	15.44609665
Min length	9

Characters and Unicode

Total characters	4155
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	164	61.0%
Agree (4)	80	29.7%
Strongly disagree (1)	18	6.7%
Indifferent (3)	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	244	33.9%
strongly	182	25.3%
5	164	22.8%
4	80	11.1%
disagree	18	2.5%
1	18	2.5%
indifferent	7	1.0%
3	7	1.0%

Most occurring characters

Value	Count	Frequency (%)
e	538	12.9%
r	451	10.9%
	451	10.9%
g	444	10.7%
(	269	6.5%
)	269	6.5%
n	196	4.7%
t	189	4.5%
a	182	4.4%
S	182	4.4%
Other values (13)	984	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2628	63.2%
Space Separator	451	10.9%
Open Punctuation	269	6.5%
Close Punctuation	269	6.5%
Uppercase Letter	269	6.5%
Decimal Number	269	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	20.5%
r	451	17.2%
g	444	16.9%
n	196	7.5%
t	189	7.2%
a	182	6.9%
y	182	6.9%
l	182	6.9%
o	182	6.9%
d	25	1.0%
Other values (3)	57	2.2%

Decimal Number

Value	Count	Frequency (%)
5	164	61.0%
4	80	29.7%
1	18	6.7%
3	7	2.6%

Uppercase Letter

Value	Count	Frequency (%)
S	182	67.7%
A	80	29.7%
I	7	2.6%

Space Separator

Value	Count	Frequency (%)
	451	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2897	69.7%
Common	1258	30.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	18.6%
r	451	15.6%
g	444	15.3%
n	196	6.8%
t	189	6.5%
a	182	6.3%
S	182	6.3%
y	182	6.3%
l	182	6.3%
o	182	6.3%
Other values (6)	169	5.8%

Common

Value	Count	Frequency (%)
	451	35.9%
(	269	21.4%
)	269	21.4%
5	164	13.0%
4	80	6.4%
1	18	1.4%
3	7	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4155	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	12.9%
r	451	10.9%
	451	10.9%
g	444	10.7%
(	269	6.5%
)	269	6.5%
n	196	4.7%
t	189	4.5%
a	182	4.4%
S	182	4.4%
Other values (13)	984	23.7%

Importance of product comparison content
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	116
Agree (4)	92
Indifferent (3)	43
Dis-agree (2)	18

Length

Max length	18
Median length	15
Mean length	14.10780669
Min length	9

Characters and Unicode

Total characters	3795
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Indifferent (3)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Agree (4)
5th row	Indifferent (3)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	116	43.1%
Agree (4)	92	34.2%
Indifferent (3)	43	16.0%
Dis-agree (2)	18	6.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	208	31.8%
strongly	116	17.7%
5	116	17.7%
4	92	14.1%
indifferent	43	6.6%
3	43	6.6%
dis-agree	18	2.8%
2	18	2.8%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.2%
r	385	10.1%
	385	10.1%
g	342	9.0%
)	269	7.1%
(	269	7.1%
n	202	5.3%
t	159	4.2%
a	134	3.5%
S	116	3.1%
Other values (15)	996	26.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2316	61.0%
Space Separator	385	10.1%
Close Punctuation	269	7.1%
Open Punctuation	269	7.1%
Uppercase Letter	269	7.1%
Decimal Number	269	7.1%
Dash Punctuation	18	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	23.2%
r	385	16.6%
g	342	14.8%
n	202	8.7%
t	159	6.9%
a	134	5.8%
y	116	5.0%
l	116	5.0%
o	116	5.0%
f	86	3.7%
Other values (3)	122	5.3%

Uppercase Letter

Value	Count	Frequency (%)
S	116	43.1%
A	92	34.2%
I	43	16.0%
D	18	6.7%

Decimal Number

Value	Count	Frequency (%)
5	116	43.1%
4	92	34.2%
3	43	16.0%
2	18	6.7%

Space Separator

Value	Count	Frequency (%)
	385	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2585	68.1%
Common	1210	31.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.8%
r	385	14.9%
g	342	13.2%
n	202	7.8%
t	159	6.2%
a	134	5.2%
S	116	4.5%
y	116	4.5%
l	116	4.5%
o	116	4.5%
Other values (7)	361	14.0%

Common

Value	Count	Frequency (%)
	385	31.8%
)	269	22.2%
(	269	22.2%
5	116	9.6%
4	92	7.6%
3	43	3.6%
-	18	1.5%
2	18	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3795	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.2%
r	385	10.1%
	385	10.1%
g	342	9.0%
)	269	7.1%
(	269	7.1%
n	202	5.3%
t	159	4.2%
a	134	3.5%
S	116	3.1%
Other values (15)	996	26.2%

Importance of seller and product detail for purchase decision
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Agree (4)	101
Strongly agree (5)	87
Indifferent (3)	52
Dis-agree (2)	18
Strongly disagree (1)	11

Length

Max length	21
Median length	18
Mean length	13.82899628
Min length	9

Characters and Unicode

Total characters	3720
Distinct characters	26
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Indifferent (3)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Indifferent (3)
5th row	Indifferent (3)

Common Values

Value	Count	Frequency (%)
Agree (4)	101	37.5%
Strongly agree (5)	87	32.3%
Indifferent (3)	52	19.3%
Dis-agree (2)	18	6.7%
Strongly disagree (1)	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	188	29.6%
4	101	15.9%
strongly	98	15.4%
5	87	13.7%
indifferent	52	8.2%
3	52	8.2%
dis-agree	18	2.8%
2	18	2.8%
disagree	11	1.7%
1	11	1.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.5%
r	367	9.9%
	367	9.9%
g	315	8.5%
(	269	7.2%
)	269	7.2%
n	202	5.4%
t	150	4.0%
a	116	3.1%
f	104	2.8%
Other values (16)	1023	27.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2259	60.7%
Space Separator	367	9.9%
Open Punctuation	269	7.2%
Close Punctuation	269	7.2%
Uppercase Letter	269	7.2%
Decimal Number	269	7.2%
Dash Punctuation	18	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	23.8%
r	367	16.2%
g	315	13.9%
n	202	8.9%
t	150	6.6%
a	116	5.1%
f	104	4.6%
y	98	4.3%
l	98	4.3%
o	98	4.3%
Other values (3)	173	7.7%

Decimal Number

Value	Count	Frequency (%)
4	101	37.5%
5	87	32.3%
3	52	19.3%
2	18	6.7%
1	11	4.1%

Uppercase Letter

Value	Count	Frequency (%)
A	101	37.5%
S	98	36.4%
I	52	19.3%
D	18	6.7%

Space Separator

Value	Count	Frequency (%)
	367	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2528	68.0%
Common	1192	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	21.3%
r	367	14.5%
g	315	12.5%
n	202	8.0%
t	150	5.9%
a	116	4.6%
f	104	4.1%
A	101	4.0%
y	98	3.9%
l	98	3.9%
Other values (7)	439	17.4%

Common

Value	Count	Frequency (%)
	367	30.8%
(	269	22.6%
)	269	22.6%
4	101	8.5%
5	87	7.3%
3	52	4.4%
-	18	1.5%
2	18	1.5%
1	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.5%
r	367	9.9%
	367	9.9%
g	315	8.5%
(	269	7.2%
)	269	7.2%
n	202	5.4%
t	150	4.0%
a	116	3.1%
f	104	2.8%
Other values (16)	1023	27.5%

Clarity on relevant information for products
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Agree (4)	132
Strongly agree (5)	107
Strongly disagree (1)	18
Dis-agree (2)	12

Length

Max length	21
Median length	18
Mean length	13.56133829
Min length	9

Characters and Unicode

Total characters	3648
Distinct characters	23
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Agree (4)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Agree (4)	132	49.1%
Strongly agree (5)	107	39.8%
Strongly disagree (1)	18	6.7%
Dis-agree (2)	12	4.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	239	36.0%
4	132	19.9%
strongly	125	18.9%
5	107	16.1%
disagree	18	2.7%
1	18	2.7%
dis-agree	12	1.8%
2	12	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.7%
g	394	10.8%
r	394	10.8%
	394	10.8%
(	269	7.4%
)	269	7.4%
a	137	3.8%
A	132	3.6%
4	132	3.6%
y	125	3.4%
Other values (13)	864	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2166	59.4%
Space Separator	394	10.8%
Open Punctuation	269	7.4%
Close Punctuation	269	7.4%
Uppercase Letter	269	7.4%
Decimal Number	269	7.4%
Dash Punctuation	12	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	24.8%
g	394	18.2%
r	394	18.2%
a	137	6.3%
y	125	5.8%
l	125	5.8%
n	125	5.8%
o	125	5.8%
t	125	5.8%
i	30	1.4%
Other values (2)	48	2.2%

Decimal Number

Value	Count	Frequency (%)
4	132	49.1%
5	107	39.8%
1	18	6.7%
2	12	4.5%

Uppercase Letter

Value	Count	Frequency (%)
A	132	49.1%
S	125	46.5%
D	12	4.5%

Space Separator

Value	Count	Frequency (%)
	394	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2435	66.7%
Common	1213	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	22.1%
g	394	16.2%
r	394	16.2%
a	137	5.6%
A	132	5.4%
y	125	5.1%
l	125	5.1%
n	125	5.1%
o	125	5.1%
t	125	5.1%
Other values (5)	215	8.8%

Common

Value	Count	Frequency (%)
	394	32.5%
(	269	22.2%
)	269	22.2%
4	132	10.9%
5	107	8.8%
1	18	1.5%
-	12	1.0%
2	12	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3648	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.7%
g	394	10.8%
r	394	10.8%
	394	10.8%
(	269	7.4%
)	269	7.4%
a	137	3.8%
A	132	3.6%
4	132	3.6%
y	125	3.4%
Other values (13)	864	23.7%

Ease of navigation on website
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	141
Agree (4)	105
Strongly disagree (1)	18
Dis-agree (2)	5

Length

Max length	21
Median length	18
Mean length	14.59479554
Min length	9

Characters and Unicode

Total characters	3926
Distinct characters	23
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Strongly agree (5)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	141	52.4%
Agree (4)	105	39.0%
Strongly disagree (1)	18	6.7%
Dis-agree (2)	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	246	35.3%
strongly	159	22.8%
5	141	20.2%
4	105	15.1%
disagree	18	2.6%
1	18	2.6%
dis-agree	5	0.7%
2	5	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.7%
	428	10.9%
r	428	10.9%
g	428	10.9%
(	269	6.9%
)	269	6.9%
a	164	4.2%
t	159	4.0%
S	159	4.0%
y	159	4.0%
Other values (13)	925	23.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2417	61.6%
Space Separator	428	10.9%
Open Punctuation	269	6.9%
Close Punctuation	269	6.9%
Uppercase Letter	269	6.9%
Decimal Number	269	6.9%
Dash Punctuation	5	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	22.3%
r	428	17.7%
g	428	17.7%
a	164	6.8%
t	159	6.6%
y	159	6.6%
l	159	6.6%
n	159	6.6%
o	159	6.6%
i	23	1.0%
Other values (2)	41	1.7%

Decimal Number

Value	Count	Frequency (%)
5	141	52.4%
4	105	39.0%
1	18	6.7%
2	5	1.9%

Uppercase Letter

Value	Count	Frequency (%)
S	159	59.1%
A	105	39.0%
D	5	1.9%

Space Separator

Value	Count	Frequency (%)
	428	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2686	68.4%
Common	1240	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.0%
r	428	15.9%
g	428	15.9%
a	164	6.1%
t	159	5.9%
S	159	5.9%
y	159	5.9%
l	159	5.9%
n	159	5.9%
o	159	5.9%
Other values (5)	174	6.5%

Common

Value	Count	Frequency (%)
	428	34.5%
(	269	21.7%
)	269	21.7%
5	141	11.4%
4	105	8.5%
1	18	1.5%
-	5	0.4%
2	5	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3926	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.7%
	428	10.9%
r	428	10.9%
g	428	10.9%
(	269	6.9%
)	269	6.9%
a	164	4.2%
t	159	4.0%
S	159	4.0%
y	159	4.0%
Other values (13)	925	23.6%

Loading and processing speed of website
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	115
Agree (4)	112
Dis-agree (2)	18
Strongly disagree (1)	12
Indifferent (3)	12

Length

Max length	21
Median length	18
Mean length	13.91821561
Min length	9

Characters and Unicode

Total characters	3744
Distinct characters	26
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly disagree (1)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	115	42.8%
Agree (4)	112	41.6%
Dis-agree (2)	18	6.7%
Strongly disagree (1)	12	4.5%
Indifferent (3)	12	4.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	227	34.1%
strongly	127	19.1%
5	115	17.3%
4	112	16.8%
dis-agree	18	2.7%
2	18	2.7%
disagree	12	1.8%
1	12	1.8%
indifferent	12	1.8%
3	12	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.4%
r	396	10.6%
	396	10.6%
g	384	10.3%
)	269	7.2%
(	269	7.2%
n	151	4.0%
a	145	3.9%
t	139	3.7%
S	127	3.4%
Other values (16)	930	24.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2254	60.2%
Space Separator	396	10.6%
Close Punctuation	269	7.2%
Open Punctuation	269	7.2%
Uppercase Letter	269	7.2%
Decimal Number	269	7.2%
Dash Punctuation	18	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	23.9%
r	396	17.6%
g	384	17.0%
n	151	6.7%
a	145	6.4%
t	139	6.2%
y	127	5.6%
l	127	5.6%
o	127	5.6%
i	42	1.9%
Other values (3)	78	3.5%

Decimal Number

Value	Count	Frequency (%)
5	115	42.8%
4	112	41.6%
2	18	6.7%
1	12	4.5%
3	12	4.5%

Uppercase Letter

Value	Count	Frequency (%)
S	127	47.2%
A	112	41.6%
D	18	6.7%
I	12	4.5%

Space Separator

Value	Count	Frequency (%)
	396	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2523	67.4%
Common	1221	32.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	21.3%
r	396	15.7%
g	384	15.2%
n	151	6.0%
a	145	5.7%
t	139	5.5%
S	127	5.0%
y	127	5.0%
l	127	5.0%
o	127	5.0%
Other values (7)	262	10.4%

Common

Value	Count	Frequency (%)
	396	32.4%
)	269	22.0%
(	269	22.0%
5	115	9.4%
4	112	9.2%
-	18	1.5%
2	18	1.5%
1	12	1.0%
3	12	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3744	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.4%
r	396	10.6%
	396	10.6%
g	384	10.3%
)	269	7.2%
(	269	7.2%
n	151	4.0%
a	145	3.9%
t	139	3.7%
S	127	3.4%
Other values (16)	930	24.8%

Ease of access on GUI of website
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	189
Agree (4)	45
Strongly disagree (1)	18
Dis-agree (2)	12
Indifferent (3)	5

Length

Max length	21
Median length	18
Mean length	16.41635688
Min length	9

Characters and Unicode

Total characters	4416
Distinct characters	26
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dis-agree (2)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Strongly agree (5)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	189	70.3%
Agree (4)	45	16.7%
Strongly disagree (1)	18	6.7%
Dis-agree (2)	12	4.5%
Indifferent (3)	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	234	31.4%
strongly	207	27.8%
5	189	25.4%
4	45	6.0%
disagree	18	2.4%
1	18	2.4%
dis-agree	12	1.6%
2	12	1.6%
indifferent	5	0.7%
3	5	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	12.2%
r	476	10.8%
	476	10.8%
g	471	10.7%
)	269	6.1%
(	269	6.1%
a	219	5.0%
n	217	4.9%
t	212	4.8%
S	207	4.7%
Other values (16)	1062	24.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2852	64.6%
Space Separator	476	10.8%
Close Punctuation	269	6.1%
Open Punctuation	269	6.1%
Uppercase Letter	269	6.1%
Decimal Number	269	6.1%
Dash Punctuation	12	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	18.9%
r	476	16.7%
g	471	16.5%
a	219	7.7%
n	217	7.6%
t	212	7.4%
y	207	7.3%
l	207	7.3%
o	207	7.3%
i	35	1.2%
Other values (3)	63	2.2%

Decimal Number

Value	Count	Frequency (%)
5	189	70.3%
4	45	16.7%
1	18	6.7%
2	12	4.5%
3	5	1.9%

Uppercase Letter

Value	Count	Frequency (%)
S	207	77.0%
A	45	16.7%
D	12	4.5%
I	5	1.9%

Space Separator

Value	Count	Frequency (%)
	476	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3121	70.7%
Common	1295	29.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	17.2%
r	476	15.3%
g	471	15.1%
a	219	7.0%
n	217	7.0%
t	212	6.8%
S	207	6.6%
y	207	6.6%
l	207	6.6%
o	207	6.6%
Other values (7)	160	5.1%

Common

Value	Count	Frequency (%)
	476	36.8%
)	269	20.8%
(	269	20.8%
5	189	14.6%
4	45	3.5%
1	18	1.4%
-	12	0.9%
2	12	0.9%
3	5	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4416	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	12.2%
r	476	10.8%
	476	10.8%
g	471	10.7%
)	269	6.1%
(	269	6.1%
a	219	5.0%
n	217	4.9%
t	212	4.8%
S	207	4.7%
Other values (16)	1062	24.0%

Convenient/Most used payment methods
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	159
Agree (4)	80
Dis-agree (2)	30

Length

Max length	18
Median length	18
Mean length	14.76579926
Min length	9

Characters and Unicode

Total characters	3972
Distinct characters	21
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dis-agree (2)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Strongly agree (5)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	159	59.1%
Agree (4)	80	29.7%
Dis-agree (2)	30	11.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	239	34.3%
strongly	159	22.8%
5	159	22.8%
4	80	11.5%
dis-agree	30	4.3%
2	30	4.3%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.5%
r	428	10.8%
g	428	10.8%
	428	10.8%
)	269	6.8%
(	269	6.8%
a	189	4.8%
5	159	4.0%
t	159	4.0%
S	159	4.0%
Other values (11)	946	23.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2438	61.4%
Space Separator	428	10.8%
Close Punctuation	269	6.8%
Open Punctuation	269	6.8%
Decimal Number	269	6.8%
Uppercase Letter	269	6.8%
Dash Punctuation	30	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	22.1%
r	428	17.6%
g	428	17.6%
a	189	7.8%
t	159	6.5%
y	159	6.5%
l	159	6.5%
n	159	6.5%
o	159	6.5%
i	30	1.2%

Decimal Number

Value	Count	Frequency (%)
5	159	59.1%
4	80	29.7%
2	30	11.2%

Uppercase Letter

Value	Count	Frequency (%)
S	159	59.1%
A	80	29.7%
D	30	11.2%

Space Separator

Value	Count	Frequency (%)
	428	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	30	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2707	68.2%
Common	1265	31.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.9%
r	428	15.8%
g	428	15.8%
a	189	7.0%
t	159	5.9%
S	159	5.9%
y	159	5.9%
l	159	5.9%
n	159	5.9%
o	159	5.9%
Other values (4)	170	6.3%

Common

Value	Count	Frequency (%)
	428	33.8%
)	269	21.3%
(	269	21.3%
5	159	12.6%
4	80	6.3%
-	30	2.4%
2	30	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3972	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.5%
r	428	10.8%
g	428	10.8%
	428	10.8%
)	269	6.8%
(	269	6.8%
a	189	4.8%
5	159	4.0%
t	159	4.0%
S	159	4.0%
Other values (11)	946	23.8%

On time product delivery
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	141
Agree (4)	86
Disagree (2)	30
indifferent (3)	12

Length

Max length	18
Median length	18
Mean length	14.36431227
Min length	9

Characters and Unicode

Total characters	3864
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Disagree (2)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	141	52.4%
Agree (4)	86	32.0%
Disagree (2)	30	11.2%
indifferent (3)	12	4.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	227	33.4%
strongly	141	20.8%
5	141	20.8%
4	86	12.7%
disagree	30	4.4%
2	30	4.4%
indifferent	12	1.8%
3	12	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.9%
	422	10.9%
r	410	10.6%
g	398	10.3%
(	269	7.0%
)	269	7.0%
a	171	4.4%
n	165	4.3%
t	153	4.0%
5	141	3.6%
Other values (13)	928	24.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2378	61.5%
Space Separator	422	10.9%
Open Punctuation	269	7.0%
Close Punctuation	269	7.0%
Decimal Number	269	7.0%
Uppercase Letter	257	6.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	22.6%
r	410	17.2%
g	398	16.7%
a	171	7.2%
n	165	6.9%
t	153	6.4%
y	141	5.9%
l	141	5.9%
o	141	5.9%
i	54	2.3%
Other values (3)	66	2.8%

Decimal Number

Value	Count	Frequency (%)
5	141	52.4%
4	86	32.0%
2	30	11.2%
3	12	4.5%

Uppercase Letter

Value	Count	Frequency (%)
S	141	54.9%
A	86	33.5%
D	30	11.7%

Space Separator

Value	Count	Frequency (%)
	422	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2635	68.2%
Common	1229	31.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.4%
r	410	15.6%
g	398	15.1%
a	171	6.5%
n	165	6.3%
t	153	5.8%
S	141	5.4%
y	141	5.4%
l	141	5.4%
o	141	5.4%
Other values (6)	236	9.0%

Common

Value	Count	Frequency (%)
	422	34.3%
(	269	21.9%
)	269	21.9%
5	141	11.5%
4	86	7.0%
2	30	2.4%
3	12	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3864	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.9%
	422	10.9%
r	410	10.6%
g	398	10.3%
(	269	7.0%
)	269	7.0%
a	171	4.4%
n	165	4.3%
t	153	4.0%
5	141	3.6%
Other values (13)	928	24.0%

Empathy towards the customer
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	194
Agree (4)	42
Strongly disagree (1)	18
indifferent (3)	15

Length

Max length	21
Median length	18
Mean length	16.62825279
Min length	9

Characters and Unicode

Total characters	4473
Distinct characters	22
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree (5)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Strongly agree (5)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	194	72.1%
Agree (4)	42	15.6%
Strongly disagree (1)	18	6.7%
indifferent (3)	15	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	236	31.5%
strongly	212	28.3%
5	194	25.9%
4	42	5.6%
disagree	18	2.4%
1	18	2.4%
indifferent	15	2.0%
3	15	2.0%

Most occurring characters

Value	Count	Frequency (%)
e	538	12.0%
r	481	10.8%
	481	10.8%
g	466	10.4%
(	269	6.0%
)	269	6.0%
n	242	5.4%
t	227	5.1%
a	212	4.7%
S	212	4.7%
Other values (12)	1076	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2931	65.5%
Space Separator	481	10.8%
Open Punctuation	269	6.0%
Close Punctuation	269	6.0%
Decimal Number	269	6.0%
Uppercase Letter	254	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	18.4%
r	481	16.4%
g	466	15.9%
n	242	8.3%
t	227	7.7%
a	212	7.2%
y	212	7.2%
l	212	7.2%
o	212	7.2%
i	48	1.6%
Other values (3)	81	2.8%

Decimal Number

Value	Count	Frequency (%)
5	194	72.1%
4	42	15.6%
1	18	6.7%
3	15	5.6%

Uppercase Letter

Value	Count	Frequency (%)
S	212	83.5%
A	42	16.5%

Space Separator

Value	Count	Frequency (%)
	481	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3185	71.2%
Common	1288	28.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	16.9%
r	481	15.1%
g	466	14.6%
n	242	7.6%
t	227	7.1%
a	212	6.7%
S	212	6.7%
y	212	6.7%
l	212	6.7%
o	212	6.7%
Other values (5)	171	5.4%

Common

Value	Count	Frequency (%)
	481	37.3%
(	269	20.9%
)	269	20.9%
5	194	15.1%
4	42	3.3%
1	18	1.4%
3	15	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4473	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	12.0%
r	481	10.8%
	481	10.8%
g	466	10.4%
(	269	6.0%
)	269	6.0%
n	242	5.4%
t	227	5.1%
a	212	4.7%
S	212	4.7%
Other values (12)	1076	24.1%

Privacy guarantee of the customer
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	185
Agree (4)	58
indifferent (3)	26

Length

Max length	18
Median length	18
Mean length	15.76951673
Min length	9

Characters and Unicode

Total characters	4242
Distinct characters	20
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Strongly agree (5)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	185	68.8%
Agree (4)	58	21.6%
indifferent (3)	26	9.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	243	33.6%
strongly	185	25.6%
5	185	25.6%
4	58	8.0%
indifferent	26	3.6%
3	26	3.6%

Most occurring characters

Value	Count	Frequency (%)
e	538	12.7%
r	454	10.7%
	454	10.7%
g	428	10.1%
)	269	6.3%
(	269	6.3%
n	237	5.6%
t	211	5.0%
5	185	4.4%
S	185	4.4%
Other values (10)	1012	23.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2738	64.5%
Space Separator	454	10.7%
Close Punctuation	269	6.3%
Open Punctuation	269	6.3%
Decimal Number	269	6.3%
Uppercase Letter	243	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	19.6%
r	454	16.6%
g	428	15.6%
n	237	8.7%
t	211	7.7%
a	185	6.8%
y	185	6.8%
l	185	6.8%
o	185	6.8%
i	52	1.9%
Other values (2)	78	2.8%

Decimal Number

Value	Count	Frequency (%)
5	185	68.8%
4	58	21.6%
3	26	9.7%

Uppercase Letter

Value	Count	Frequency (%)
S	185	76.1%
A	58	23.9%

Space Separator

Value	Count	Frequency (%)
	454	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2981	70.3%
Common	1261	29.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	18.0%
r	454	15.2%
g	428	14.4%
n	237	8.0%
t	211	7.1%
S	185	6.2%
a	185	6.2%
y	185	6.2%
l	185	6.2%
o	185	6.2%
Other values (4)	188	6.3%

Common

Value	Count	Frequency (%)
	454	36.0%
)	269	21.3%
(	269	21.3%
5	185	14.7%
4	58	4.6%
3	26	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4242	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	12.7%
r	454	10.7%
	454	10.7%
g	428	10.1%
)	269	6.3%
(	269	6.3%
n	237	5.6%
t	211	5.0%
5	185	4.4%
S	185	4.4%
Other values (10)	1012	23.9%

29 Responsiveness, availability of several communication channels (email, online rep, twitter, phone etc.)
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	149
Agree (4)	94
indifferent (3)	15
Strongly disagree (1)	11

Length

Max length	21
Median length	18
Mean length	14.81040892
Min length	9

Characters and Unicode

Total characters	3984
Distinct characters	22
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	149	55.4%
Agree (4)	94	34.9%
indifferent (3)	15	5.6%
Strongly disagree (1)	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	243	34.8%
strongly	160	22.9%
5	149	21.3%
4	94	13.5%
indifferent	15	2.1%
3	15	2.1%
disagree	11	1.6%
1	11	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.5%
r	429	10.8%
	429	10.8%
g	414	10.4%
(	269	6.8%
)	269	6.8%
n	190	4.8%
t	175	4.4%
a	160	4.0%
S	160	4.0%
Other values (12)	951	23.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2494	62.6%
Space Separator	429	10.8%
Open Punctuation	269	6.8%
Close Punctuation	269	6.8%
Decimal Number	269	6.8%
Uppercase Letter	254	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.6%
r	429	17.2%
g	414	16.6%
n	190	7.6%
t	175	7.0%
a	160	6.4%
y	160	6.4%
l	160	6.4%
o	160	6.4%
i	41	1.6%
Other values (3)	67	2.7%

Decimal Number

Value	Count	Frequency (%)
5	149	55.4%
4	94	34.9%
3	15	5.6%
1	11	4.1%

Uppercase Letter

Value	Count	Frequency (%)
S	160	63.0%
A	94	37.0%

Space Separator

Value	Count	Frequency (%)
	429	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2748	69.0%
Common	1236	31.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.6%
r	429	15.6%
g	414	15.1%
n	190	6.9%
t	175	6.4%
a	160	5.8%
S	160	5.8%
y	160	5.8%
l	160	5.8%
o	160	5.8%
Other values (5)	202	7.4%

Common

Value	Count	Frequency (%)
	429	34.7%
(	269	21.8%
)	269	21.8%
5	149	12.1%
4	94	7.6%
3	15	1.2%
1	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3984	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.5%
r	429	10.8%
	429	10.8%
g	414	10.4%
(	269	6.8%
)	269	6.8%
n	190	4.8%
t	175	4.4%
a	160	4.0%
S	160	4.0%
Other values (12)	951	23.9%

Offers and Discounts on online shopping
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	105
Agree (4)	85
indifferent (3)	50
Strongly disagree (1)	18
Dis-agree (2)	11

Length

Max length	21
Median length	18
Mean length	14.59479554
Min length	9

Characters and Unicode

Total characters	3926
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	indifferent (3)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	105	39.0%
Agree (4)	85	31.6%
indifferent (3)	50	18.6%
Strongly disagree (1)	18	6.7%
Dis-agree (2)	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	190	28.7%
strongly	123	18.6%
5	105	15.9%
4	85	12.9%
indifferent	50	7.6%
3	50	7.6%
disagree	18	2.7%
1	18	2.7%
dis-agree	11	1.7%
2	11	1.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.7%
r	392	10.0%
	392	10.0%
g	342	8.7%
(	269	6.9%
)	269	6.9%
n	223	5.7%
t	173	4.4%
a	134	3.4%
i	129	3.3%
Other values (15)	1065	27.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2497	63.6%
Space Separator	392	10.0%
Open Punctuation	269	6.9%
Close Punctuation	269	6.9%
Decimal Number	269	6.9%
Uppercase Letter	219	5.6%
Dash Punctuation	11	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.5%
r	392	15.7%
g	342	13.7%
n	223	8.9%
t	173	6.9%
a	134	5.4%
i	129	5.2%
o	123	4.9%
l	123	4.9%
y	123	4.9%
Other values (3)	197	7.9%

Decimal Number

Value	Count	Frequency (%)
5	105	39.0%
4	85	31.6%
3	50	18.6%
1	18	6.7%
2	11	4.1%

Uppercase Letter

Value	Count	Frequency (%)
S	123	56.2%
A	85	38.8%
D	11	5.0%

Space Separator

Value	Count	Frequency (%)
	392	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2716	69.2%
Common	1210	30.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.8%
r	392	14.4%
g	342	12.6%
n	223	8.2%
t	173	6.4%
a	134	4.9%
i	129	4.7%
S	123	4.5%
o	123	4.5%
l	123	4.5%
Other values (6)	416	15.3%

Common

Value	Count	Frequency (%)
	392	32.4%
(	269	22.2%
)	269	22.2%
5	105	8.7%
4	85	7.0%
3	50	4.1%
1	18	1.5%
-	11	0.9%
2	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3926	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.7%
r	392	10.0%
	392	10.0%
g	342	8.7%
(	269	6.9%
)	269	6.9%
n	223	5.7%
t	173	4.4%
a	134	3.4%
i	129	3.3%
Other values (15)	1065	27.1%

Enjoyment quotient in online shopping
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	86
indifferent (3)	75
Agree (4)	59
Strongly disagree (1)	30
Dis-agree (2)	19

Length

Max length	21
Median length	18
Mean length	15.17100372
Min length	9

Characters and Unicode

Total characters	4081
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly disagree (1)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	indifferent (3)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	86	32.0%
indifferent (3)	75	27.9%
Agree (4)	59	21.9%
Strongly disagree (1)	30	11.2%
Dis-agree (2)	19	7.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	145	22.2%
strongly	116	17.7%
5	86	13.1%
indifferent	75	11.5%
3	75	11.5%
4	59	9.0%
disagree	30	4.6%
1	30	4.6%
dis-agree	19	2.9%
2	19	2.9%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.2%
r	385	9.4%
	385	9.4%
g	310	7.6%
(	269	6.6%
)	269	6.6%
n	266	6.5%
i	199	4.9%
t	191	4.7%
f	150	3.7%
Other values (15)	1119	27.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2676	65.6%
Space Separator	385	9.4%
Open Punctuation	269	6.6%
Close Punctuation	269	6.6%
Decimal Number	269	6.6%
Uppercase Letter	194	4.8%
Dash Punctuation	19	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	20.1%
r	385	14.4%
g	310	11.6%
n	266	9.9%
i	199	7.4%
t	191	7.1%
f	150	5.6%
a	135	5.0%
o	116	4.3%
l	116	4.3%
Other values (3)	270	10.1%

Decimal Number

Value	Count	Frequency (%)
5	86	32.0%
3	75	27.9%
4	59	21.9%
1	30	11.2%
2	19	7.1%

Uppercase Letter

Value	Count	Frequency (%)
S	116	59.8%
A	59	30.4%
D	19	9.8%

Space Separator

Value	Count	Frequency (%)
	385	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2870	70.3%
Common	1211	29.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	18.7%
r	385	13.4%
g	310	10.8%
n	266	9.3%
i	199	6.9%
t	191	6.7%
f	150	5.2%
a	135	4.7%
S	116	4.0%
o	116	4.0%
Other values (6)	464	16.2%

Common

Value	Count	Frequency (%)
	385	31.8%
(	269	22.2%
)	269	22.2%
5	86	7.1%
3	75	6.2%
4	59	4.9%
1	30	2.5%
-	19	1.6%
2	19	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4081	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.2%
r	385	9.4%
	385	9.4%
g	310	7.6%
(	269	6.6%
)	269	6.6%
n	266	6.5%
i	199	4.9%
t	191	4.7%
f	150	3.7%
Other values (15)	1119	27.4%

Flexibity in online shopping
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	146
Agree (4)	78
indifferent (3)	33
Dis-agree (2)	12

Length

Max length	18
Median length	18
Mean length	14.79925651
Min length	9

Characters and Unicode

Total characters	3981
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dis-agree (2)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	indifferent (3)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	146	54.3%
Agree (4)	78	29.0%
indifferent (3)	33	12.3%
Dis-agree (2)	12	4.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	224	32.7%
strongly	146	21.3%
5	146	21.3%
4	78	11.4%
indifferent	33	4.8%
3	33	4.8%
dis-agree	12	1.8%
2	12	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.5%
r	415	10.4%
	415	10.4%
g	382	9.6%
)	269	6.8%
(	269	6.8%
n	212	5.3%
t	179	4.5%
a	158	4.0%
S	146	3.7%
Other values (14)	998	25.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2511	63.1%
Space Separator	415	10.4%
Close Punctuation	269	6.8%
Open Punctuation	269	6.8%
Decimal Number	269	6.8%
Uppercase Letter	236	5.9%
Dash Punctuation	12	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.4%
r	415	16.5%
g	382	15.2%
n	212	8.4%
t	179	7.1%
a	158	6.3%
y	146	5.8%
l	146	5.8%
o	146	5.8%
i	78	3.1%
Other values (3)	111	4.4%

Decimal Number

Value	Count	Frequency (%)
5	146	54.3%
4	78	29.0%
3	33	12.3%
2	12	4.5%

Uppercase Letter

Value	Count	Frequency (%)
S	146	61.9%
A	78	33.1%
D	12	5.1%

Space Separator

Value	Count	Frequency (%)
	415	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	12	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2747	69.0%
Common	1234	31.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.6%
r	415	15.1%
g	382	13.9%
n	212	7.7%
t	179	6.5%
a	158	5.8%
S	146	5.3%
y	146	5.3%
l	146	5.3%
o	146	5.3%
Other values (6)	279	10.2%

Common

Value	Count	Frequency (%)
	415	33.6%
)	269	21.8%
(	269	21.8%
5	146	11.8%
4	78	6.3%
3	33	2.7%
-	12	1.0%
2	12	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3981	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.5%
r	415	10.4%
	415	10.4%
g	382	9.6%
)	269	6.8%
(	269	6.8%
n	212	5.3%
t	179	4.5%
a	158	4.0%
S	146	3.7%
Other values (14)	998	25.1%

Return and Replacement policy
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	198
Agree (4)	51
Dis-agree (2)	20

Length

Max length	18
Median length	18
Mean length	15.92193309
Min length	9

Characters and Unicode

Total characters	4283
Distinct characters	21
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Dis-agree (2)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	198	73.6%
Agree (4)	51	19.0%
Dis-agree (2)	20	7.4%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	249	33.8%
strongly	198	26.9%
5	198	26.9%
4	51	6.9%
dis-agree	20	2.7%
2	20	2.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	12.6%
r	467	10.9%
g	467	10.9%
	467	10.9%
)	269	6.3%
(	269	6.3%
a	218	5.1%
5	198	4.6%
t	198	4.6%
S	198	4.6%
Other values (11)	994	23.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2720	63.5%
Space Separator	467	10.9%
Close Punctuation	269	6.3%
Open Punctuation	269	6.3%
Decimal Number	269	6.3%
Uppercase Letter	269	6.3%
Dash Punctuation	20	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	19.8%
r	467	17.2%
g	467	17.2%
a	218	8.0%
t	198	7.3%
y	198	7.3%
l	198	7.3%
n	198	7.3%
o	198	7.3%
i	20	0.7%

Decimal Number

Value	Count	Frequency (%)
5	198	73.6%
4	51	19.0%
2	20	7.4%

Uppercase Letter

Value	Count	Frequency (%)
S	198	73.6%
A	51	19.0%
D	20	7.4%

Space Separator

Value	Count	Frequency (%)
	467	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	20	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2989	69.8%
Common	1294	30.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	18.0%
r	467	15.6%
g	467	15.6%
a	218	7.3%
t	198	6.6%
S	198	6.6%
y	198	6.6%
l	198	6.6%
n	198	6.6%
o	198	6.6%
Other values (4)	111	3.7%

Common

Value	Count	Frequency (%)
	467	36.1%
)	269	20.8%
(	269	20.8%
5	198	15.3%
4	51	3.9%
-	20	1.5%
2	20	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4283	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	12.6%
r	467	10.9%
g	467	10.9%
	467	10.9%
)	269	6.3%
(	269	6.3%
a	218	5.1%
5	198	4.6%
t	198	4.6%
S	198	4.6%
Other values (11)	994	23.2%

Loyalty program benefits
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	115
Agree (4)	64
indifferent (3)	64
Dis-agree (2)	15
Strongly disagree (1)	11

Length

Max length	21
Median length	18
Mean length	14.98884758
Min length	9

Characters and Unicode

Total characters	4032
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	indifferent (3)
5th row	Dis-agree (2)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	115	42.8%
Agree (4)	64	23.8%
indifferent (3)	64	23.8%
Dis-agree (2)	15	5.6%
Strongly disagree (1)	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	179	27.0%
strongly	126	19.0%
5	115	17.3%
4	64	9.6%
indifferent	64	9.6%
3	64	9.6%
dis-agree	15	2.3%
2	15	2.3%
disagree	11	1.7%
1	11	1.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.3%
r	395	9.8%
	395	9.8%
g	331	8.2%
(	269	6.7%
)	269	6.7%
n	254	6.3%
t	190	4.7%
i	154	3.8%
a	141	3.5%
Other values (15)	1096	27.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2610	64.7%
Space Separator	395	9.8%
Open Punctuation	269	6.7%
Close Punctuation	269	6.7%
Decimal Number	269	6.7%
Uppercase Letter	205	5.1%
Dash Punctuation	15	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	20.6%
r	395	15.1%
g	331	12.7%
n	254	9.7%
t	190	7.3%
i	154	5.9%
a	141	5.4%
f	128	4.9%
o	126	4.8%
l	126	4.8%
Other values (3)	227	8.7%

Decimal Number

Value	Count	Frequency (%)
5	115	42.8%
4	64	23.8%
3	64	23.8%
2	15	5.6%
1	11	4.1%

Uppercase Letter

Value	Count	Frequency (%)
S	126	61.5%
A	64	31.2%
D	15	7.3%

Space Separator

Value	Count	Frequency (%)
	395	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2815	69.8%
Common	1217	30.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.1%
r	395	14.0%
g	331	11.8%
n	254	9.0%
t	190	6.7%
i	154	5.5%
a	141	5.0%
f	128	4.5%
S	126	4.5%
o	126	4.5%
Other values (6)	432	15.3%

Common

Value	Count	Frequency (%)
	395	32.5%
(	269	22.1%
)	269	22.1%
5	115	9.4%
4	64	5.3%
3	64	5.3%
-	15	1.2%
2	15	1.2%
1	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4032	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.3%
r	395	9.8%
	395	9.8%
g	331	8.2%
(	269	6.7%
)	269	6.7%
n	254	6.3%
t	190	4.7%
i	154	3.8%
a	141	3.5%
Other values (15)	1096	27.2%

Quality of website content
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	133
Agree (4)	80
indifferent (3)	56

Length

Max length	18
Median length	15
Mean length	14.69888476
Min length	9

Characters and Unicode

Total characters	3954
Distinct characters	20
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	indifferent (3)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	indifferent (3)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	133	49.4%
Agree (4)	80	29.7%
indifferent (3)	56	20.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	213	31.7%
strongly	133	19.8%
5	133	19.8%
4	80	11.9%
indifferent	56	8.3%
3	56	8.3%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.6%
r	402	10.2%
	402	10.2%
g	346	8.8%
)	269	6.8%
(	269	6.8%
n	245	6.2%
t	189	4.8%
5	133	3.4%
S	133	3.4%
Other values (10)	1028	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2532	64.0%
Space Separator	402	10.2%
Close Punctuation	269	6.8%
Open Punctuation	269	6.8%
Decimal Number	269	6.8%
Uppercase Letter	213	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.2%
r	402	15.9%
g	346	13.7%
n	245	9.7%
t	189	7.5%
a	133	5.3%
y	133	5.3%
l	133	5.3%
o	133	5.3%
i	112	4.4%
Other values (2)	168	6.6%

Decimal Number

Value	Count	Frequency (%)
5	133	49.4%
4	80	29.7%
3	56	20.8%

Uppercase Letter

Value	Count	Frequency (%)
S	133	62.4%
A	80	37.6%

Space Separator

Value	Count	Frequency (%)
	402	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2745	69.4%
Common	1209	30.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.6%
r	402	14.6%
g	346	12.6%
n	245	8.9%
t	189	6.9%
S	133	4.8%
a	133	4.8%
y	133	4.8%
l	133	4.8%
o	133	4.8%
Other values (4)	360	13.1%

Common

Value	Count	Frequency (%)
	402	33.3%
)	269	22.2%
(	269	22.2%
5	133	11.0%
4	80	6.6%
3	56	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3954	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.6%
r	402	10.2%
	402	10.2%
g	346	8.8%
)	269	6.8%
(	269	6.8%
n	245	6.2%
t	189	4.8%
5	133	3.4%
S	133	3.4%
Other values (10)	1028	26.0%

User satisfaction
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	175
Agree (4)	86
Dis-agree (2)	8

Length

Max length	18
Median length	18
Mean length	14.9739777
Min length	9

Characters and Unicode

Total characters	4028
Distinct characters	21
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree (5)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	175	65.1%
Agree (4)	86	32.0%
Dis-agree (2)	8	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	261	36.6%
strongly	175	24.5%
5	175	24.5%
4	86	12.1%
dis-agree	8	1.1%
2	8	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.4%
r	444	11.0%
g	444	11.0%
	444	11.0%
)	269	6.7%
(	269	6.7%
a	183	4.5%
5	175	4.3%
t	175	4.3%
S	175	4.3%
Other values (11)	912	22.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2500	62.1%
Space Separator	444	11.0%
Close Punctuation	269	6.7%
Open Punctuation	269	6.7%
Decimal Number	269	6.7%
Uppercase Letter	269	6.7%
Dash Punctuation	8	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.5%
r	444	17.8%
g	444	17.8%
a	183	7.3%
t	175	7.0%
y	175	7.0%
l	175	7.0%
n	175	7.0%
o	175	7.0%
i	8	0.3%

Decimal Number

Value	Count	Frequency (%)
5	175	65.1%
4	86	32.0%
2	8	3.0%

Uppercase Letter

Value	Count	Frequency (%)
S	175	65.1%
A	86	32.0%
D	8	3.0%

Space Separator

Value	Count	Frequency (%)
	444	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2769	68.7%
Common	1259	31.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.4%
r	444	16.0%
g	444	16.0%
a	183	6.6%
t	175	6.3%
S	175	6.3%
y	175	6.3%
l	175	6.3%
n	175	6.3%
o	175	6.3%
Other values (4)	110	4.0%

Common

Value	Count	Frequency (%)
	444	35.3%
)	269	21.4%
(	269	21.4%
5	175	13.9%
4	86	6.8%
-	8	0.6%
2	8	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4028	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.4%
r	444	11.0%
g	444	11.0%
	444	11.0%
)	269	6.7%
(	269	6.7%
a	183	4.5%
5	175	4.3%
t	175	4.3%
S	175	4.3%
Other values (11)	912	22.6%

Net benefit
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	164
Agree (4)	54
indifferent (3)	40
Dis-agree (2)	11

Length

Max length	18
Median length	18
Mean length	15.54275093
Min length	9

Characters and Unicode

Total characters	4181
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	indifferent (3)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	164	61.0%
Agree (4)	54	20.1%
indifferent (3)	40	14.9%
Dis-agree (2)	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	218	31.1%
strongly	164	23.4%
5	164	23.4%
4	54	7.7%
indifferent	40	5.7%
3	40	5.7%
dis-agree	11	1.6%
2	11	1.6%

Most occurring characters

Value	Count	Frequency (%)
e	538	12.9%
r	433	10.4%
	433	10.4%
g	393	9.4%
)	269	6.4%
(	269	6.4%
n	244	5.8%
t	204	4.9%
a	175	4.2%
S	164	3.9%
Other values (14)	1059	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2701	64.6%
Space Separator	433	10.4%
Close Punctuation	269	6.4%
Open Punctuation	269	6.4%
Decimal Number	269	6.4%
Uppercase Letter	229	5.5%
Dash Punctuation	11	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	19.9%
r	433	16.0%
g	393	14.6%
n	244	9.0%
t	204	7.6%
a	175	6.5%
y	164	6.1%
l	164	6.1%
o	164	6.1%
i	91	3.4%
Other values (3)	131	4.9%

Decimal Number

Value	Count	Frequency (%)
5	164	61.0%
4	54	20.1%
3	40	14.9%
2	11	4.1%

Uppercase Letter

Value	Count	Frequency (%)
S	164	71.6%
A	54	23.6%
D	11	4.8%

Space Separator

Value	Count	Frequency (%)
	433	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2930	70.1%
Common	1251	29.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	18.4%
r	433	14.8%
g	393	13.4%
n	244	8.3%
t	204	7.0%
a	175	6.0%
S	164	5.6%
y	164	5.6%
l	164	5.6%
o	164	5.6%
Other values (6)	287	9.8%

Common

Value	Count	Frequency (%)
	433	34.6%
)	269	21.5%
(	269	21.5%
5	164	13.1%
4	54	4.3%
3	40	3.2%
-	11	0.9%
2	11	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4181	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	12.9%
r	433	10.4%
	433	10.4%
g	393	9.4%
)	269	6.4%
(	269	6.4%
n	244	5.8%
t	204	4.9%
a	175	4.2%
S	164	3.9%
Other values (14)	1059	25.3%

User satisfaction with trust factor
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	122
Agree (4)	117
Strongly disagree (1)	18
Dis-agree (2)	7
indifferent (3)	5

Length

Max length	21
Median length	18
Mean length	14.10037175
Min length	9

Characters and Unicode

Total characters	3793
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree (5)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	122	45.4%
Agree (4)	117	43.5%
Strongly disagree (1)	18	6.7%
Dis-agree (2)	7	2.6%
indifferent (3)	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	239	35.3%
strongly	140	20.6%
5	122	18.0%
4	117	17.3%
disagree	18	2.7%
1	18	2.7%
dis-agree	7	1.0%
2	7	1.0%
indifferent	5	0.7%
3	5	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.2%
r	409	10.8%
	409	10.8%
g	404	10.7%
)	269	7.1%
(	269	7.1%
n	150	4.0%
a	147	3.9%
t	145	3.8%
S	140	3.7%
Other values (15)	913	24.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2306	60.8%
Space Separator	409	10.8%
Close Punctuation	269	7.1%
Open Punctuation	269	7.1%
Decimal Number	269	7.1%
Uppercase Letter	264	7.0%
Dash Punctuation	7	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	23.3%
r	409	17.7%
g	404	17.5%
n	150	6.5%
a	147	6.4%
t	145	6.3%
o	140	6.1%
l	140	6.1%
y	140	6.1%
i	35	1.5%
Other values (3)	58	2.5%

Decimal Number

Value	Count	Frequency (%)
5	122	45.4%
4	117	43.5%
1	18	6.7%
2	7	2.6%
3	5	1.9%

Uppercase Letter

Value	Count	Frequency (%)
S	140	53.0%
A	117	44.3%
D	7	2.7%

Space Separator

Value	Count	Frequency (%)
	409	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2570	67.8%
Common	1223	32.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.9%
r	409	15.9%
g	404	15.7%
n	150	5.8%
a	147	5.7%
t	145	5.6%
S	140	5.4%
o	140	5.4%
l	140	5.4%
y	140	5.4%
Other values (6)	217	8.4%

Common

Value	Count	Frequency (%)
	409	33.4%
)	269	22.0%
(	269	22.0%
5	122	10.0%
4	117	9.6%
1	18	1.5%
-	7	0.6%
2	7	0.6%
3	5	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3793	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.2%
r	409	10.8%
	409	10.8%
g	404	10.7%
)	269	7.1%
(	269	7.1%
n	150	4.0%
a	147	3.9%
t	145	3.8%
S	140	3.7%
Other values (15)	913	24.1%

Wide range of products
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	111
Agree (4)	94
indifferent (3)	57
Dis-agree (2)	7

Length

Max length	18
Median length	15
Mean length	14.08921933
Min length	9

Characters and Unicode

Total characters	3790
Distinct characters	24
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	indifferent (3)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	111	41.3%
Agree (4)	94	34.9%
indifferent (3)	57	21.2%
Dis-agree (2)	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	205	31.6%
strongly	111	17.1%
5	111	17.1%
4	94	14.5%
indifferent	57	8.8%
3	57	8.8%
dis-agree	7	1.1%
2	7	1.1%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.2%
r	380	10.0%
	380	10.0%
g	323	8.5%
)	269	7.1%
(	269	7.1%
n	225	5.9%
t	168	4.4%
i	121	3.2%
a	118	3.1%
Other values (14)	999	26.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2384	62.9%
Space Separator	380	10.0%
Close Punctuation	269	7.1%
Open Punctuation	269	7.1%
Decimal Number	269	7.1%
Uppercase Letter	212	5.6%
Dash Punctuation	7	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	22.6%
r	380	15.9%
g	323	13.5%
n	225	9.4%
t	168	7.0%
i	121	5.1%
a	118	4.9%
f	114	4.8%
y	111	4.7%
l	111	4.7%
Other values (3)	175	7.3%

Decimal Number

Value	Count	Frequency (%)
5	111	41.3%
4	94	34.9%
3	57	21.2%
2	7	2.6%

Uppercase Letter

Value	Count	Frequency (%)
S	111	52.4%
A	94	44.3%
D	7	3.3%

Space Separator

Value	Count	Frequency (%)
	380	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2596	68.5%
Common	1194	31.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.7%
r	380	14.6%
g	323	12.4%
n	225	8.7%
t	168	6.5%
i	121	4.7%
a	118	4.5%
f	114	4.4%
S	111	4.3%
y	111	4.3%
Other values (6)	387	14.9%

Common

Value	Count	Frequency (%)
	380	31.8%
)	269	22.5%
(	269	22.5%
5	111	9.3%
4	94	7.9%
3	57	4.8%
-	7	0.6%
2	7	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3790	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.2%
r	380	10.0%
	380	10.0%
g	323	8.5%
)	269	7.1%
(	269	7.1%
n	225	5.9%
t	168	4.4%
i	121	3.2%
a	118	3.1%
Other values (14)	999	26.4%

Relevance in product details
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	135
Agree (4)	98
indifferent (3)	31
Disagree (2)	5

Length

Max length	18
Median length	18
Mean length	14.26394052
Min length	9

Characters and Unicode

Total characters	3837
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	indifferent (3)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Agree (4)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	135	50.2%
Agree (4)	98	36.4%
indifferent (3)	31	11.5%
Disagree (2)	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	233	34.6%
strongly	135	20.1%
5	135	20.1%
4	98	14.6%
indifferent	31	4.6%
3	31	4.6%
disagree	5	0.7%
2	5	0.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.0%
r	404	10.5%
	404	10.5%
g	373	9.7%
(	269	7.0%
)	269	7.0%
n	197	5.1%
t	166	4.3%
a	140	3.6%
5	135	3.5%
Other values (13)	942	24.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2388	62.2%
Space Separator	404	10.5%
Open Punctuation	269	7.0%
Close Punctuation	269	7.0%
Decimal Number	269	7.0%
Uppercase Letter	238	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	22.5%
r	404	16.9%
g	373	15.6%
n	197	8.2%
t	166	7.0%
a	140	5.9%
y	135	5.7%
l	135	5.7%
o	135	5.7%
i	67	2.8%
Other values (3)	98	4.1%

Decimal Number

Value	Count	Frequency (%)
5	135	50.2%
4	98	36.4%
3	31	11.5%
2	5	1.9%

Uppercase Letter

Value	Count	Frequency (%)
S	135	56.7%
A	98	41.2%
D	5	2.1%

Space Separator

Value	Count	Frequency (%)
	404	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2626	68.4%
Common	1211	31.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.5%
r	404	15.4%
g	373	14.2%
n	197	7.5%
t	166	6.3%
a	140	5.3%
S	135	5.1%
y	135	5.1%
l	135	5.1%
o	135	5.1%
Other values (6)	268	10.2%

Common

Value	Count	Frequency (%)
	404	33.4%
(	269	22.2%
)	269	22.2%
5	135	11.1%
4	98	8.1%
3	31	2.6%
2	5	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3837	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.0%
r	404	10.5%
	404	10.5%
g	373	9.7%
(	269	7.0%
)	269	7.0%
n	197	5.1%
t	166	4.3%
a	140	3.6%
5	135	3.5%
Other values (13)	942	24.6%

Monetary savings
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	1.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Strongly agree (5)	148
Agree (4)	75
Disagree (2)	31
indifferent (3)	15

Length

Max length	18
Median length	18
Mean length	14.63197026
Min length	9

Characters and Unicode

Total characters	3936
Distinct characters	23
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Disagree (2)
2nd row	Strongly agree (5)
3rd row	Strongly agree (5)
4th row	Strongly agree (5)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Strongly agree (5)	148	55.0%
Agree (4)	75	27.9%
Disagree (2)	31	11.5%
indifferent (3)	15	5.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	223	32.5%
strongly	148	21.6%
5	148	21.6%
4	75	10.9%
disagree	31	4.5%
2	31	4.5%
indifferent	15	2.2%
3	15	2.2%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.7%
r	417	10.6%
	417	10.6%
g	402	10.2%
(	269	6.8%
)	269	6.8%
a	179	4.5%
n	178	4.5%
t	163	4.1%
5	148	3.8%
Other values (13)	956	24.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2458	62.4%
Space Separator	417	10.6%
Open Punctuation	269	6.8%
Close Punctuation	269	6.8%
Decimal Number	269	6.8%
Uppercase Letter	254	6.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.9%
r	417	17.0%
g	402	16.4%
a	179	7.3%
n	178	7.2%
t	163	6.6%
y	148	6.0%
l	148	6.0%
o	148	6.0%
i	61	2.5%
Other values (3)	76	3.1%

Decimal Number

Value	Count	Frequency (%)
5	148	55.0%
4	75	27.9%
2	31	11.5%
3	15	5.6%

Uppercase Letter

Value	Count	Frequency (%)
S	148	58.3%
A	75	29.5%
D	31	12.2%

Space Separator

Value	Count	Frequency (%)
	417	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2712	68.9%
Common	1224	31.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.8%
r	417	15.4%
g	402	14.8%
a	179	6.6%
n	178	6.6%
t	163	6.0%
S	148	5.5%
y	148	5.5%
l	148	5.5%
o	148	5.5%
Other values (6)	243	9.0%

Common

Value	Count	Frequency (%)
	417	34.1%
(	269	22.0%
)	269	22.0%
5	148	12.1%
4	75	6.1%
2	31	2.5%
3	15	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3936	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.7%
r	417	10.6%
	417	10.6%
g	402	10.2%
(	269	6.8%
)	269	6.8%
a	179	4.5%
n	178	4.5%
t	163	4.1%
5	148	3.8%
Other values (13)	956	24.3%

Frequency of purchase from a seller
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Agree (4)	138
indifferent (3)	77
Strongly agree (5)	54

Length

Max length	18
Median length	9
Mean length	12.52416357
Min length	9

Characters and Unicode

Total characters	3369
Distinct characters	20
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	indifferent (3)
2nd row	indifferent (3)
3rd row	Agree (4)
4th row	Agree (4)
5th row	Agree (4)

Common Values

Value	Count	Frequency (%)
Agree (4)	138	51.3%
indifferent (3)	77	28.6%
Strongly agree (5)	54	20.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	192	32.4%
4	138	23.3%
indifferent	77	13.0%
3	77	13.0%
strongly	54	9.1%
5	54	9.1%

Most occurring characters

Value	Count	Frequency (%)
e	538	16.0%
r	323	9.6%
	323	9.6%
(	269	8.0%
)	269	8.0%
g	246	7.3%
n	208	6.2%
i	154	4.6%
f	154	4.6%
A	138	4.1%
Other values (10)	747	22.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2047	60.8%
Space Separator	323	9.6%
Open Punctuation	269	8.0%
Close Punctuation	269	8.0%
Decimal Number	269	8.0%
Uppercase Letter	192	5.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	26.3%
r	323	15.8%
g	246	12.0%
n	208	10.2%
i	154	7.5%
f	154	7.5%
t	131	6.4%
d	77	3.8%
o	54	2.6%
l	54	2.6%
Other values (2)	108	5.3%

Decimal Number

Value	Count	Frequency (%)
4	138	51.3%
3	77	28.6%
5	54	20.1%

Uppercase Letter

Value	Count	Frequency (%)
A	138	71.9%
S	54	28.1%

Space Separator

Value	Count	Frequency (%)
	323	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2239	66.5%
Common	1130	33.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	24.0%
r	323	14.4%
g	246	11.0%
n	208	9.3%
i	154	6.9%
f	154	6.9%
A	138	6.2%
t	131	5.9%
d	77	3.4%
S	54	2.4%
Other values (4)	216	9.6%

Common

Value	Count	Frequency (%)
	323	28.6%
(	269	23.8%
)	269	23.8%
4	138	12.2%
3	77	6.8%
5	54	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3369	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	16.0%
r	323	9.6%
	323	9.6%
(	269	8.0%
)	269	8.0%
g	246	7.3%
n	208	6.2%
i	154	4.6%
f	154	4.6%
A	138	4.1%
Other values (10)	747	22.2%

Sense of adventure
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Agree (4)	101
indifferent (3)	59
Strongly agree (5)	54
Dis-agree (2)	50
Strongly disagree (1)	5

Length

Max length	21
Median length	18
Mean length	13.08921933
Min length	9

Characters and Unicode

Total characters	3521
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	indifferent (3)
3rd row	Agree (4)
4th row	Agree (4)
5th row	indifferent (3)

Common Values

Value	Count	Frequency (%)
Agree (4)	101	37.5%
indifferent (3)	59	21.9%
Strongly agree (5)	54	20.1%
Dis-agree (2)	50	18.6%
Strongly disagree (1)	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	155	26.0%
4	101	16.9%
indifferent	59	9.9%
3	59	9.9%
strongly	59	9.9%
5	54	9.0%
dis-agree	50	8.4%
2	50	8.4%
disagree	5	0.8%
1	5	0.8%

Most occurring characters

Value	Count	Frequency (%)
e	538	15.3%
r	328	9.3%
	328	9.3%
(	269	7.6%
)	269	7.6%
g	269	7.6%
n	177	5.0%
i	173	4.9%
t	118	3.4%
f	118	3.4%
Other values (15)	934	26.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2126	60.4%
Space Separator	328	9.3%
Open Punctuation	269	7.6%
Close Punctuation	269	7.6%
Decimal Number	269	7.6%
Uppercase Letter	210	6.0%
Dash Punctuation	50	1.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	25.3%
r	328	15.4%
g	269	12.7%
n	177	8.3%
i	173	8.1%
t	118	5.6%
f	118	5.6%
a	109	5.1%
d	64	3.0%
o	59	2.8%
Other values (3)	173	8.1%

Decimal Number

Value	Count	Frequency (%)
4	101	37.5%
3	59	21.9%
5	54	20.1%
2	50	18.6%
1	5	1.9%

Uppercase Letter

Value	Count	Frequency (%)
A	101	48.1%
S	59	28.1%
D	50	23.8%

Space Separator

Value	Count	Frequency (%)
	328	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2336	66.3%
Common	1185	33.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	23.0%
r	328	14.0%
g	269	11.5%
n	177	7.6%
i	173	7.4%
t	118	5.1%
f	118	5.1%
a	109	4.7%
A	101	4.3%
d	64	2.7%
Other values (6)	341	14.6%

Common

Value	Count	Frequency (%)
	328	27.7%
(	269	22.7%
)	269	22.7%
4	101	8.5%
3	59	5.0%
5	54	4.6%
-	50	4.2%
2	50	4.2%
1	5	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3521	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	15.3%
r	328	9.3%
	328	9.3%
(	269	7.6%
)	269	7.6%
g	269	7.6%
n	177	5.0%
i	173	4.9%
t	118	3.4%
f	118	3.4%
Other values (15)	934	26.5%

Social status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

indifferent (3)	100
Agree (4)	59
Strongly agree (5)	48
Strongly disagree (1)	33
Dis-agree (2)	29

Length

Max length	21
Median length	18
Mean length	14.73977695
Min length	9

Characters and Unicode

Total characters	3965
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	indifferent (3)
3rd row	Agree (4)
4th row	Strongly agree (5)
5th row	Strongly disagree (1)

Common Values

Value	Count	Frequency (%)
indifferent (3)	100	37.2%
Agree (4)	59	21.9%
Strongly agree (5)	48	17.8%
Strongly disagree (1)	33	12.3%
Dis-agree (2)	29	10.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	107	17.3%
indifferent	100	16.2%
3	100	16.2%
strongly	81	13.1%
4	59	9.5%
5	48	7.8%
disagree	33	5.3%
1	33	5.3%
dis-agree	29	4.7%
2	29	4.7%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.6%
	350	8.8%
r	350	8.8%
n	281	7.1%
)	269	6.8%
(	269	6.8%
i	262	6.6%
g	250	6.3%
f	200	5.0%
t	181	4.6%
Other values (15)	1015	25.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2610	65.8%
Space Separator	350	8.8%
Close Punctuation	269	6.8%
Open Punctuation	269	6.8%
Decimal Number	269	6.8%
Uppercase Letter	169	4.3%
Dash Punctuation	29	0.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	20.6%
r	350	13.4%
n	281	10.8%
i	262	10.0%
g	250	9.6%
f	200	7.7%
t	181	6.9%
d	133	5.1%
a	110	4.2%
o	81	3.1%
Other values (3)	224	8.6%

Decimal Number

Value	Count	Frequency (%)
3	100	37.2%
4	59	21.9%
5	48	17.8%
1	33	12.3%
2	29	10.8%

Uppercase Letter

Value	Count	Frequency (%)
S	81	47.9%
A	59	34.9%
D	29	17.2%

Space Separator

Value	Count	Frequency (%)
	350	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	29	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2779	70.1%
Common	1186	29.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.4%
r	350	12.6%
n	281	10.1%
i	262	9.4%
g	250	9.0%
f	200	7.2%
t	181	6.5%
d	133	4.8%
a	110	4.0%
o	81	2.9%
Other values (6)	393	14.1%

Common

Value	Count	Frequency (%)
	350	29.5%
)	269	22.7%
(	269	22.7%
3	100	8.4%
4	59	5.0%
5	48	4.0%
1	33	2.8%
-	29	2.4%
2	29	2.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3965	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.6%
	350	8.8%
r	350	8.8%
n	281	7.1%
)	269	6.8%
(	269	6.8%
i	262	6.6%
g	250	6.3%
f	200	5.0%
t	181	4.6%
Other values (15)	1015	25.6%

Pleasure in shopping from a seller
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

indifferent (3)	101
Strongly agree (5)	65
Agree (4)	63
Disagree (2)	22
Strongly disagree (1)	18

Length

Max length	21
Median length	18
Mean length	14.47583643
Min length	9

Characters and Unicode

Total characters	3894
Distinct characters	24
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree (5)
2nd row	Strongly agree (5)
3rd row	indifferent (3)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
indifferent (3)	101	37.5%
Strongly agree (5)	65	24.2%
Agree (4)	63	23.4%
Disagree (2)	22	8.2%
Strongly disagree (1)	18	6.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	128	20.6%
indifferent	101	16.3%
3	101	16.3%
strongly	83	13.4%
5	65	10.5%
4	63	10.1%
disagree	40	6.4%
2	22	3.5%
1	18	2.9%

Most occurring characters

Value	Count	Frequency (%)
e	538	13.8%
r	352	9.0%
	352	9.0%
n	285	7.3%
(	269	6.9%
)	269	6.9%
g	251	6.4%
i	242	6.2%
f	202	5.2%
t	184	4.7%
Other values (14)	950	24.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2567	65.9%
Space Separator	352	9.0%
Open Punctuation	269	6.9%
Close Punctuation	269	6.9%
Decimal Number	269	6.9%
Uppercase Letter	168	4.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	21.0%
r	352	13.7%
n	285	11.1%
g	251	9.8%
i	242	9.4%
f	202	7.9%
t	184	7.2%
d	119	4.6%
a	105	4.1%
y	83	3.2%
Other values (3)	206	8.0%

Decimal Number

Value	Count	Frequency (%)
3	101	37.5%
5	65	24.2%
4	63	23.4%
2	22	8.2%
1	18	6.7%

Uppercase Letter

Value	Count	Frequency (%)
S	83	49.4%
A	63	37.5%
D	22	13.1%

Space Separator

Value	Count	Frequency (%)
	352	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2735	70.2%
Common	1159	29.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	19.7%
r	352	12.9%
n	285	10.4%
g	251	9.2%
i	242	8.8%
f	202	7.4%
t	184	6.7%
d	119	4.4%
a	105	3.8%
y	83	3.0%
Other values (6)	374	13.7%

Common

Value	Count	Frequency (%)
	352	30.4%
(	269	23.2%
)	269	23.2%
3	101	8.7%
5	65	5.6%
4	63	5.4%
2	22	1.9%
1	18	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3894	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	13.8%
r	352	9.0%
	352	9.0%
n	285	7.3%
(	269	6.9%
)	269	6.9%
g	251	6.4%
i	242	6.2%
f	202	5.2%
t	184	4.7%
Other values (14)	950	24.4%

Fulfill roles from shopping
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	5
Distinct (%)	1.9%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Agree (4)	88
indifferent (3)	88
Strongly agree (5)	38
Strongly disagree (1)	33
Dis-agree (2)	22

Length

Max length	21
Median length	18
Mean length	14.03345725
Min length	9

Characters and Unicode

Total characters	3775
Distinct characters	25
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Agree (4)
2nd row	Strongly agree (5)
3rd row	indifferent (3)
4th row	indifferent (3)
5th row	Strongly disagree (1)

Common Values

Value	Count	Frequency (%)
Agree (4)	88	32.7%
indifferent (3)	88	32.7%
Strongly agree (5)	38	14.1%
Strongly disagree (1)	33	12.3%
Dis-agree (2)	22	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	126	20.7%
4	88	14.4%
indifferent	88	14.4%
3	88	14.4%
strongly	71	11.7%
5	38	6.2%
disagree	33	5.4%
1	33	5.4%
dis-agree	22	3.6%
2	22	3.6%

Most occurring characters

Value	Count	Frequency (%)
e	538	14.3%
r	340	9.0%
	340	9.0%
(	269	7.1%
)	269	7.1%
g	252	6.7%
n	247	6.5%
i	231	6.1%
f	176	4.7%
t	159	4.2%
Other values (15)	954	25.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2425	64.2%
Space Separator	340	9.0%
Open Punctuation	269	7.1%
Close Punctuation	269	7.1%
Decimal Number	269	7.1%
Uppercase Letter	181	4.8%
Dash Punctuation	22	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	22.2%
r	340	14.0%
g	252	10.4%
n	247	10.2%
i	231	9.5%
f	176	7.3%
t	159	6.6%
d	121	5.0%
a	93	3.8%
o	71	2.9%
Other values (3)	197	8.1%

Decimal Number

Value	Count	Frequency (%)
3	88	32.7%
4	88	32.7%
5	38	14.1%
1	33	12.3%
2	22	8.2%

Uppercase Letter

Value	Count	Frequency (%)
A	88	48.6%
S	71	39.2%
D	22	12.2%

Space Separator

Value	Count	Frequency (%)
	340	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2606	69.0%
Common	1169	31.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	20.6%
r	340	13.0%
g	252	9.7%
n	247	9.5%
i	231	8.9%
f	176	6.8%
t	159	6.1%
d	121	4.6%
a	93	3.6%
A	88	3.4%
Other values (6)	361	13.9%

Common

Value	Count	Frequency (%)
	340	29.1%
(	269	23.0%
)	269	23.0%
3	88	7.5%
4	88	7.5%
5	38	3.3%
1	33	2.8%
-	22	1.9%
2	22	1.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3775	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	14.3%
r	340	9.0%
	340	9.0%
(	269	7.1%
)	269	7.1%
g	252	6.7%
n	247	6.5%
i	231	6.1%
f	176	4.7%
t	159	4.2%
Other values (15)	954	25.3%

Value for money
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	1.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Agree (4)	149
Strongly agree (5)	82
indifferent (3)	38

Length

Max length	18
Median length	9
Mean length	12.59107807
Min length	9

Characters and Unicode

Total characters	3387
Distinct characters	20
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Strongly agree (5)
2nd row	Strongly agree (5)
3rd row	Agree (4)
4th row	Agree (4)
5th row	Strongly agree (5)

Common Values

Value	Count	Frequency (%)
Agree (4)	149	55.4%
Strongly agree (5)	82	30.5%
indifferent (3)	38	14.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
agree	231	37.3%
4	149	24.0%
strongly	82	13.2%
5	82	13.2%
indifferent	38	6.1%
3	38	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	538	15.9%
r	351	10.4%
	351	10.4%
g	313	9.2%
(	269	7.9%
)	269	7.9%
n	158	4.7%
A	149	4.4%
4	149	4.4%
t	120	3.5%
Other values (10)	720	21.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1998	59.0%
Space Separator	351	10.4%
Open Punctuation	269	7.9%
Close Punctuation	269	7.9%
Decimal Number	269	7.9%
Uppercase Letter	231	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	538	26.9%
r	351	17.6%
g	313	15.7%
n	158	7.9%
t	120	6.0%
y	82	4.1%
a	82	4.1%
o	82	4.1%
l	82	4.1%
i	76	3.8%
Other values (2)	114	5.7%

Decimal Number

Value	Count	Frequency (%)
4	149	55.4%
5	82	30.5%
3	38	14.1%

Uppercase Letter

Value	Count	Frequency (%)
A	149	64.5%
S	82	35.5%

Space Separator

Value	Count	Frequency (%)
	351	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	269	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	269	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2229	65.8%
Common	1158	34.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	538	24.1%
r	351	15.7%
g	313	14.0%
n	158	7.1%
A	149	6.7%
t	120	5.4%
y	82	3.7%
a	82	3.7%
o	82	3.7%
l	82	3.7%
Other values (4)	272	12.2%

Common

Value	Count	Frequency (%)
	351	30.3%
(	269	23.2%
)	269	23.2%
4	149	12.9%
5	82	7.1%
3	38	3.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3387	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	538	15.9%
r	351	10.4%
	351	10.4%
g	313	9.2%
(	269	7.9%
)	269	7.9%
n	158	4.7%
A	149	4.4%
4	149	4.4%
t	120	3.5%
Other values (10)	720	21.3%

List of online shopping websites
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	82
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	44
Amazon.in, Flipkart.com	32
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	29
Amazon.in, Flipkart.com, Snapdeal.com	27
Other values (4)	55

Length

Max length	60
Median length	48
Mean length	42.62081784
Min length	9

Characters and Unicode

Total characters	11465
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in, Paytm.com
2nd row	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
5th row	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	82	30.5%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	44	16.4%
Amazon.in, Flipkart.com	32	11.9%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	29	10.8%
Amazon.in, Flipkart.com, Snapdeal.com	27	10.0%
Amazon.in, Paytm.com, Myntra.com	20	7.4%
Amazon.in	16	5.9%
Amazon.in, Paytm.com	12	4.5%
Amazon.in, Flipkart.com, Paytm.com	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	269	27.8%
flipkart.com	221	22.8%
snapdeal.com	182	18.8%
paytm.com	150	15.5%
myntra.com	146	15.1%

Most occurring characters

Value	Count	Frequency (%)
a	1150	10.0%
m	1118	9.8%
o	968	8.4%
.	968	8.4%
n	866	7.6%
,	699	6.1%
	699	6.1%
c	699	6.1%
t	517	4.5%
i	490	4.3%
Other values (13)	3291	28.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8131	70.9%
Other Punctuation	1667	14.5%
Uppercase Letter	968	8.4%
Space Separator	699	6.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	1150	14.1%
m	1118	13.7%
o	968	11.9%
n	866	10.7%
c	699	8.6%
t	517	6.4%
i	490	6.0%
l	403	5.0%
p	403	5.0%
r	367	4.5%
Other values (5)	1150	14.1%

Uppercase Letter

Value	Count	Frequency (%)
A	269	27.8%
F	221	22.8%
S	182	18.8%
P	150	15.5%
M	146	15.1%

Other Punctuation

Value	Count	Frequency (%)
.	968	58.1%
,	699	41.9%

Space Separator

Value	Count	Frequency (%)
	699	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9099	79.4%
Common	2366	20.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	1150	12.6%
m	1118	12.3%
o	968	10.6%
n	866	9.5%
c	699	7.7%
t	517	5.7%
i	490	5.4%
l	403	4.4%
p	403	4.4%
r	367	4.0%
Other values (10)	2118	23.3%

Common

Value	Count	Frequency (%)
.	968	40.9%
,	699	29.5%
	699	29.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11465	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	1150	10.0%
m	1118	9.8%
o	968	8.4%
.	968	8.4%
n	866	7.6%
,	699	6.1%
	699	6.1%
c	699	6.1%
t	517	4.5%
i	490	4.3%
Other values (13)	3291	28.7%

Ease of access on an online website
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	64
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	44
Amazon.in, Flipkart.com	44
Amazon.in	29
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	22
Other values (5)	66

Length

Max length	60
Median length	48
Mean length	37.07806691
Min length	9

Characters and Unicode

Total characters	9974
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Paytm.com
2nd row	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
5th row	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	64	23.8%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	44	16.4%
Amazon.in, Flipkart.com	44	16.4%
Amazon.in	29	10.8%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	22	8.2%
Amazon.in, Paytm.com, Myntra.com	20	7.4%
Amazon.in, Flipkart.com, Myntra.com	19	7.1%
Paytm.com	12	4.5%
Flipkart.com	8	3.0%
Amazon.in, Paytm.com	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	249	29.2%
flipkart.com	201	23.6%
myntra.com	147	17.3%
snapdeal.com	130	15.3%
paytm.com	125	14.7%

Most occurring characters

Value	Count	Frequency (%)
a	982	9.8%
m	977	9.8%
o	852	8.5%
.	852	8.5%
n	775	7.8%
c	603	6.0%
,	583	5.8%
	583	5.8%
t	473	4.7%
i	450	4.5%
Other values (13)	2844	28.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7104	71.2%
Other Punctuation	1435	14.4%
Uppercase Letter	852	8.5%
Space Separator	583	5.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	982	13.8%
m	977	13.8%
o	852	12.0%
n	775	10.9%
c	603	8.5%
t	473	6.7%
i	450	6.3%
r	348	4.9%
l	331	4.7%
p	331	4.7%
Other values (5)	982	13.8%

Uppercase Letter

Value	Count	Frequency (%)
A	249	29.2%
F	201	23.6%
M	147	17.3%
S	130	15.3%
P	125	14.7%

Other Punctuation

Value	Count	Frequency (%)
.	852	59.4%
,	583	40.6%

Space Separator

Value	Count	Frequency (%)
	583	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	7956	79.8%
Common	2018	20.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	982	12.3%
m	977	12.3%
o	852	10.7%
n	775	9.7%
c	603	7.6%
t	473	5.9%
i	450	5.7%
r	348	4.4%
l	331	4.2%
p	331	4.2%
Other values (10)	1834	23.1%

Common

Value	Count	Frequency (%)
.	852	42.2%
,	583	28.9%
	583	28.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9974	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	982	9.8%
m	977	9.8%
o	852	8.5%
.	852	8.5%
n	775	7.8%
c	603	6.0%
,	583	5.8%
	583	5.8%
t	473	4.7%
i	450	4.5%
Other values (13)	2844	28.5%

Website layout
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com	87
Amazon.in	44
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	36
Amazon.in, Paytm.com, Myntra.com	20
Amazon.in, Myntra.com	15
Other values (5)	67

Length

Max length	60
Median length	48
Mean length	27.43494424
Min length	9

Characters and Unicode

Total characters	7380
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	Amazon.in, Myntra.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com
5th row	Myntra.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com	87	32.3%
Amazon.in	44	16.4%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	36	13.4%
Amazon.in, Paytm.com, Myntra.com	20	7.4%
Amazon.in, Myntra.com	15	5.6%
Myntra.com	15	5.6%
Flipkart.com, Myntra.com	15	5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Flipkart.com	12	4.5%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	227	35.2%
flipkart.com	175	27.1%
myntra.com	115	17.8%
paytm.com	67	10.4%
snapdeal.com	61	9.5%

Most occurring characters

Value	Count	Frequency (%)
m	712	9.6%
a	706	9.6%
o	645	8.7%
.	645	8.7%
n	630	8.5%
c	418	5.7%
i	402	5.4%
,	376	5.1%
	376	5.1%
t	357	4.8%
Other values (13)	2113	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5338	72.3%
Other Punctuation	1021	13.8%
Uppercase Letter	645	8.7%
Space Separator	376	5.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	712	13.3%
a	706	13.2%
o	645	12.1%
n	630	11.8%
c	418	7.8%
i	402	7.5%
t	357	6.7%
r	290	5.4%
l	236	4.4%
p	236	4.4%
Other values (5)	706	13.2%

Uppercase Letter

Value	Count	Frequency (%)
A	227	35.2%
F	175	27.1%
M	115	17.8%
P	67	10.4%
S	61	9.5%

Other Punctuation

Value	Count	Frequency (%)
.	645	63.2%
,	376	36.8%

Space Separator

Value	Count	Frequency (%)
	376	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5983	81.1%
Common	1397	18.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	712	11.9%
a	706	11.8%
o	645	10.8%
n	630	10.5%
c	418	7.0%
i	402	6.7%
t	357	6.0%
r	290	4.8%
l	236	3.9%
p	236	3.9%
Other values (10)	1351	22.6%

Common

Value	Count	Frequency (%)
.	645	46.2%
,	376	26.9%
	376	26.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7380	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	712	9.6%
a	706	9.6%
o	645	8.7%
.	645	8.7%
n	630	8.5%
c	418	5.7%
i	402	5.4%
,	376	5.1%
	376	5.1%
t	357	4.8%
Other values (13)	2113	28.6%

Variety of products on offer
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com	130
Amazon.in	43
Amazon.in, Myntra.com	20
Flipkart.com, Myntra.com	15
Myntra.com	15
Other values (4)	46

Length

Max length	49
Median length	34
Mean length	20.9739777
Min length	9

Characters and Unicode

Total characters	5642
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	Flipkart.com, Myntra.com
3rd row	Amazon.in, Myntra.com
4th row	Amazon.in, Flipkart.com
5th row	Myntra.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com	130	48.3%
Amazon.in	43	16.0%
Amazon.in, Myntra.com	20	7.4%
Flipkart.com, Myntra.com	15	5.6%
Myntra.com	15	5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Amazon.in, Flipkart.com, Paytm.com	13	4.8%
Flipkart.com	12	4.5%
Paytm.com	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	220	43.8%
flipkart.com	184	36.7%
myntra.com	64	12.7%
paytm.com	20	4.0%
snapdeal.com	14	2.8%

Most occurring characters

Value	Count	Frequency (%)
m	522	9.3%
n	518	9.2%
a	516	9.1%
o	502	8.9%
.	502	8.9%
i	404	7.2%
c	282	5.0%
t	268	4.8%
r	248	4.4%
,	233	4.1%
Other values (13)	1647	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4172	73.9%
Other Punctuation	735	13.0%
Uppercase Letter	502	8.9%
Space Separator	233	4.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	522	12.5%
n	518	12.4%
a	516	12.4%
o	502	12.0%
i	404	9.7%
c	282	6.8%
t	268	6.4%
r	248	5.9%
z	220	5.3%
l	198	4.7%
Other values (5)	494	11.8%

Uppercase Letter

Value	Count	Frequency (%)
A	220	43.8%
F	184	36.7%
M	64	12.7%
P	20	4.0%
S	14	2.8%

Other Punctuation

Value	Count	Frequency (%)
.	502	68.3%
,	233	31.7%

Space Separator

Value	Count	Frequency (%)
	233	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4674	82.8%
Common	968	17.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	522	11.2%
n	518	11.1%
a	516	11.0%
o	502	10.7%
i	404	8.6%
c	282	6.0%
t	268	5.7%
r	248	5.3%
A	220	4.7%
z	220	4.7%
Other values (10)	974	20.8%

Common

Value	Count	Frequency (%)
.	502	51.9%
,	233	24.1%
	233	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5642	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	522	9.3%
n	518	9.2%
a	516	9.1%
o	502	8.9%
.	502	8.9%
i	404	7.2%
c	282	5.0%
t	268	4.8%
r	248	4.4%
,	233	4.1%
Other values (13)	1647	29.2%

Completeness of product description
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com	100
Amazon.in	43
Amazon.in, Flipkart.com, Paytm.com	24
Amazon.in, Paytm.com, Myntra.com	20
Amazon.in, Flipkart.com, Myntra.com	15
Other values (6)	67

Length

Max length	60
Median length	49
Mean length	26.16728625
Min length	9

Characters and Unicode

Total characters	7039
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Snapdeal.com
2nd row	Amazon.in, Flipkart.com, Myntra.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com
5th row	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com	100	37.2%
Amazon.in	43	16.0%
Amazon.in, Flipkart.com, Paytm.com	24	8.9%
Amazon.in, Paytm.com, Myntra.com	20	7.4%
Amazon.in, Flipkart.com, Myntra.com	15	5.6%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	15	5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Snapdeal.com	12	4.5%
Flipkart.com, Snapdeal.com	11	4.1%
Flipkart.com	8	3.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
amazon.in	238	38.8%
flipkart.com	194	31.6%
myntra.com	64	10.4%
paytm.com	59	9.6%
snapdeal.com	59	9.6%

Most occurring characters

Value	Count	Frequency (%)
a	673	9.6%
m	673	9.6%
o	614	8.7%
.	614	8.7%
n	599	8.5%
i	432	6.1%
c	376	5.3%
,	345	4.9%
	345	4.9%
t	317	4.5%
Other values (13)	2051	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5121	72.8%
Other Punctuation	959	13.6%
Uppercase Letter	614	8.7%
Space Separator	345	4.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	673	13.1%
m	673	13.1%
o	614	12.0%
n	599	11.7%
i	432	8.4%
c	376	7.3%
t	317	6.2%
r	258	5.0%
l	253	4.9%
p	253	4.9%
Other values (5)	673	13.1%

Uppercase Letter

Value	Count	Frequency (%)
A	238	38.8%
F	194	31.6%
M	64	10.4%
P	59	9.6%
S	59	9.6%

Other Punctuation

Value	Count	Frequency (%)
.	614	64.0%
,	345	36.0%

Space Separator

Value	Count	Frequency (%)
	345	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5735	81.5%
Common	1304	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	673	11.7%
m	673	11.7%
o	614	10.7%
n	599	10.4%
i	432	7.5%
c	376	6.6%
t	317	5.5%
r	258	4.5%
l	253	4.4%
p	253	4.4%
Other values (10)	1287	22.4%

Common

Value	Count	Frequency (%)
.	614	47.1%
,	345	26.5%
	345	26.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7039	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	673	9.6%
m	673	9.6%
o	614	8.7%
.	614	8.7%
n	599	8.5%
i	432	6.1%
c	376	5.3%
,	345	4.9%
	345	4.9%
t	317	4.5%
Other values (13)	2051	29.1%

Website access speed
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	51
Amazon.in, Paytm.com	44
Amazon.in, Flipkart.com, Myntra.com	30
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	30
Amazon.in, Flipkart.com	30
Other values (5)	84

Length

Max length	60
Median length	35
Mean length	28.17843866
Min length	9

Characters and Unicode

Total characters	7580
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Snapdeal.com
2nd row	Amazon.in, Flipkart.com, Myntra.com
3rd row	Amazon.in, Paytm.com
4th row	Amazon.in, Flipkart.com, Snapdeal.com
5th row	Amazon.in

Common Values

Value	Count	Frequency (%)
Amazon.in	51	19.0%
Amazon.in, Paytm.com	44	16.4%
Amazon.in, Flipkart.com, Myntra.com	30	11.2%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	30	11.2%
Amazon.in, Flipkart.com	30	11.2%
Amazon.in, Flipkart.com, Snapdeal.com	25	9.3%
Amazon.in, Flipkart.com, Paytm.com	25	9.3%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Snapdeal.com	12	4.5%
Flipkart.com	8	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	249	37.4%
flipkart.com	162	24.4%
paytm.com	99	14.9%
snapdeal.com	81	12.2%
myntra.com	74	11.1%

Most occurring characters

Value	Count	Frequency (%)
m	764	10.1%
a	746	9.8%
o	665	8.8%
.	665	8.8%
n	653	8.6%
c	416	5.5%
i	411	5.4%
,	396	5.2%
	396	5.2%
t	335	4.4%
Other values (13)	2133	28.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5458	72.0%
Other Punctuation	1061	14.0%
Uppercase Letter	665	8.8%
Space Separator	396	5.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	764	14.0%
a	746	13.7%
o	665	12.2%
n	653	12.0%
c	416	7.6%
i	411	7.5%
t	335	6.1%
z	249	4.6%
l	243	4.5%
p	243	4.5%
Other values (5)	733	13.4%

Uppercase Letter

Value	Count	Frequency (%)
A	249	37.4%
F	162	24.4%
P	99	14.9%
S	81	12.2%
M	74	11.1%

Other Punctuation

Value	Count	Frequency (%)
.	665	62.7%
,	396	37.3%

Space Separator

Value	Count	Frequency (%)
	396	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6123	80.8%
Common	1457	19.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	764	12.5%
a	746	12.2%
o	665	10.9%
n	653	10.7%
c	416	6.8%
i	411	6.7%
t	335	5.5%
A	249	4.1%
z	249	4.1%
l	243	4.0%
Other values (10)	1392	22.7%

Common

Value	Count	Frequency (%)
.	665	45.6%
,	396	27.2%
	396	27.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7580	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	764	10.1%
a	746	9.8%
o	665	8.8%
.	665	8.8%
n	653	8.6%
c	416	5.5%
i	411	5.4%
,	396	5.2%
	396	5.2%
t	335	4.4%
Other values (13)	2133	28.1%

Reliability of website
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	61
Amazon.in, Flipkart.com	50
Amazon.in, Flipkart.com, Paytm.com	36
Amazon.in, Paytm.com, Myntra.com	35
Amazon.in, Flipkart.com, Snapdeal.com	18
Other values (5)	69

Length

Max length	49
Median length	37
Mean length	24.00371747
Min length	9

Characters and Unicode

Total characters	6457
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Paytm.com
2nd row	Myntra.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com, Paytm.com
5th row	Amazon.in, Paytm.com, Myntra.com

Common Values

Value	Count	Frequency (%)
Amazon.in	61	22.7%
Amazon.in, Flipkart.com	50	18.6%
Amazon.in, Flipkart.com, Paytm.com	36	13.4%
Amazon.in, Paytm.com, Myntra.com	35	13.0%
Amazon.in, Flipkart.com, Snapdeal.com	18	6.7%
Myntra.com	15	5.6%
Flipkart.com	15	5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	13	4.8%
Paytm.com	12	4.5%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	227	39.3%
flipkart.com	146	25.3%
paytm.com	96	16.6%
myntra.com	64	11.1%
snapdeal.com	45	7.8%

Most occurring characters

Value	Count	Frequency (%)
m	674	10.4%
a	623	9.6%
o	578	9.0%
.	578	9.0%
n	563	8.7%
i	373	5.8%
c	351	5.4%
,	309	4.8%
	309	4.8%
t	306	4.7%
Other values (13)	1793	27.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4683	72.5%
Other Punctuation	887	13.7%
Uppercase Letter	578	9.0%
Space Separator	309	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	674	14.4%
a	623	13.3%
o	578	12.3%
n	563	12.0%
i	373	8.0%
c	351	7.5%
t	306	6.5%
z	227	4.8%
r	210	4.5%
l	191	4.1%
Other values (5)	587	12.5%

Uppercase Letter

Value	Count	Frequency (%)
A	227	39.3%
F	146	25.3%
P	96	16.6%
M	64	11.1%
S	45	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	578	65.2%
,	309	34.8%

Space Separator

Value	Count	Frequency (%)
	309	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5261	81.5%
Common	1196	18.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	674	12.8%
a	623	11.8%
o	578	11.0%
n	563	10.7%
i	373	7.1%
c	351	6.7%
t	306	5.8%
A	227	4.3%
z	227	4.3%
r	210	4.0%
Other values (10)	1129	21.5%

Common

Value	Count	Frequency (%)
.	578	48.3%
,	309	25.8%
	309	25.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	674	10.4%
a	623	9.6%
o	578	9.0%
.	578	9.0%
n	563	8.7%
i	373	5.8%
c	351	5.4%
,	309	4.8%
	309	4.8%
t	306	4.7%
Other values (13)	1793	27.8%

Ease to complete purchase
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.com	66
Amazon.com, Flipkart.com, Paytm.com	47
Amazon.com, Flipkart.com	37
Amazon.com, Flipkart.com, Myntra.com	30
Paytm.com	25
Other values (4)	64

Length

Max length	57
Median length	35
Mean length	24.79182156
Min length	9

Characters and Unicode

Total characters	6669
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Paytm.com
2nd row	Amazon.com, Flipkart.com, Myntra.com
3rd row	Amazon.com, Paytm.com, Myntra.com
4th row	Amazon.com, Flipkart.com, Paytm.com
5th row	Amazon.com, Flipkart.com, Paytm.com, Myntra.com, Snapdeal

Common Values

Value	Count	Frequency (%)
Amazon.com	66	24.5%
Amazon.com, Flipkart.com, Paytm.com	47	17.5%
Amazon.com, Flipkart.com	37	13.8%
Amazon.com, Flipkart.com, Myntra.com	30	11.2%
Paytm.com	25	9.3%
Amazon.com, Paytm.com, Myntra.com	20	7.4%
Amazon.com, Flipkart.com, Paytm.com, Myntra.com, Snapdeal	15	5.6%
Flipkart.com	15	5.6%
Flipkart.com, Myntra.com, Snapdeal	14	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.com	215	36.6%
flipkart.com	158	26.9%
paytm.com	107	18.2%
myntra.com	79	13.4%
snapdeal	29	4.9%

Most occurring characters

Value	Count	Frequency (%)
m	881	13.2%
o	774	11.6%
a	617	9.3%
.	559	8.4%
c	559	8.4%
t	344	5.2%
n	323	4.8%
,	319	4.8%
	319	4.8%
r	237	3.6%
Other values (13)	1737	26.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4884	73.2%
Other Punctuation	878	13.2%
Uppercase Letter	588	8.8%
Space Separator	319	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	881	18.0%
o	774	15.8%
a	617	12.6%
c	559	11.4%
t	344	7.0%
n	323	6.6%
r	237	4.9%
z	215	4.4%
p	187	3.8%
l	187	3.8%
Other values (5)	560	11.5%

Uppercase Letter

Value	Count	Frequency (%)
A	215	36.6%
F	158	26.9%
P	107	18.2%
M	79	13.4%
S	29	4.9%

Other Punctuation

Value	Count	Frequency (%)
.	559	63.7%
,	319	36.3%

Space Separator

Value	Count	Frequency (%)
	319	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5472	82.1%
Common	1197	17.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	881	16.1%
o	774	14.1%
a	617	11.3%
c	559	10.2%
t	344	6.3%
n	323	5.9%
r	237	4.3%
A	215	3.9%
z	215	3.9%
p	187	3.4%
Other values (10)	1120	20.5%

Common

Value	Count	Frequency (%)
.	559	46.7%
,	319	26.6%
	319	26.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6669	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	881	13.2%
o	774	11.6%
a	617	9.3%
.	559	8.4%
c	559	8.4%
t	344	5.2%
n	323	4.8%
,	319	4.8%
	319	4.8%
r	237	3.6%
Other values (13)	1737	26.0%

Payment option availability
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com	65
Amazon.in, Flipkart.com, Myntra.com	40
Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	39
Amazon.in	23
Patym.com, Myntra.com	20
Other values (6)	82

Length

Max length	60
Median length	38
Mean length	31.28252788
Min length	9

Characters and Unicode

Total characters	8415
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Patym.com
2nd row	Amazon.in, Flipkart.com, Myntra.com
3rd row	Patym.com, Myntra.com
4th row	Amazon.in, Flipkart.com, Myntra.com
5th row	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com	65	24.2%
Amazon.in, Flipkart.com, Myntra.com	40	14.9%
Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	39	14.5%
Amazon.in	23	8.6%
Patym.com, Myntra.com	20	7.4%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	19	7.1%
Amazon.in, Flipkart.com, Snapdeal.com	18	6.7%
Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Patym.com	12	4.5%
Amazon.in, Patym.com	11	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
amazon.in	215	29.8%
flipkart.com	203	28.1%
myntra.com	132	18.3%
snapdeal.com	90	12.5%
patym.com	82	11.4%

Most occurring characters

Value	Count	Frequency (%)
a	812	9.6%
m	804	9.6%
o	722	8.6%
.	722	8.6%
n	652	7.7%
c	507	6.0%
,	453	5.4%
	453	5.4%
i	418	5.0%
t	417	5.0%
Other values (13)	2455	29.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6065	72.1%
Other Punctuation	1175	14.0%
Uppercase Letter	722	8.6%
Space Separator	453	5.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	812	13.4%
m	804	13.3%
o	722	11.9%
n	652	10.8%
c	507	8.4%
i	418	6.9%
t	417	6.9%
r	335	5.5%
l	293	4.8%
p	293	4.8%
Other values (5)	812	13.4%

Uppercase Letter

Value	Count	Frequency (%)
A	215	29.8%
F	203	28.1%
M	132	18.3%
S	90	12.5%
P	82	11.4%

Other Punctuation

Value	Count	Frequency (%)
.	722	61.4%
,	453	38.6%

Space Separator

Value	Count	Frequency (%)
	453	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6787	80.7%
Common	1628	19.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	812	12.0%
m	804	11.8%
o	722	10.6%
n	652	9.6%
c	507	7.5%
i	418	6.2%
t	417	6.1%
r	335	4.9%
l	293	4.3%
p	293	4.3%
Other values (10)	1534	22.6%

Common

Value	Count	Frequency (%)
.	722	44.3%
,	453	27.8%
	453	27.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8415	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	812	9.6%
m	804	9.6%
o	722	8.6%
.	722	8.6%
n	652	7.7%
c	507	6.0%
,	453	5.4%
	453	5.4%
i	418	5.0%
t	417	5.0%
Other values (13)	2455	29.2%

Fast delivery
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	107
Amazon.in, Flipkart.com	82
Amazon.in, Flipkart.com, Snapdeal.com	36
Amazon.in, Flipkart.com, Myntra.com	15
Flipkart.com	15

Length

Max length	38
Median length	37
Mean length	20.14126394
Min length	9

Characters and Unicode

Total characters	5418
Distinct characters	22
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Amazon.in, Flipkart.com
3rd row	Amazon.in
4th row	Amazon.in, Flipkart.com, Snapdeal.com
5th row	Amazon.in

Common Values

Value	Count	Frequency (%)
Amazon.in	107	39.8%
Amazon.in, Flipkart.com	82	30.5%
Amazon.in, Flipkart.com, Snapdeal.com	36	13.4%
Amazon.in, Flipkart.com, Myntra.com	15	5.6%
Flipkart.com	15	5.6%
Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	240	49.9%
flipkart.com	162	33.7%
snapdeal.com	50	10.4%
myntra.com	29	6.0%

Most occurring characters

Value	Count	Frequency (%)
n	559	10.3%
a	531	9.8%
m	481	8.9%
o	481	8.9%
.	481	8.9%
i	402	7.4%
c	241	4.4%
A	240	4.4%
z	240	4.4%
p	212	3.9%
Other values (12)	1550	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4032	74.4%
Other Punctuation	693	12.8%
Uppercase Letter	481	8.9%
Space Separator	212	3.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	559	13.9%
a	531	13.2%
m	481	11.9%
o	481	11.9%
i	402	10.0%
c	241	6.0%
z	240	6.0%
p	212	5.3%
l	212	5.3%
r	191	4.7%
Other values (5)	482	12.0%

Uppercase Letter

Value	Count	Frequency (%)
A	240	49.9%
F	162	33.7%
S	50	10.4%
M	29	6.0%

Other Punctuation

Value	Count	Frequency (%)
.	481	69.4%
,	212	30.6%

Space Separator

Value	Count	Frequency (%)
	212	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4513	83.3%
Common	905	16.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	559	12.4%
a	531	11.8%
m	481	10.7%
o	481	10.7%
i	402	8.9%
c	241	5.3%
A	240	5.3%
z	240	5.3%
p	212	4.7%
l	212	4.7%
Other values (9)	914	20.3%

Common

Value	Count	Frequency (%)
.	481	53.1%
	212	23.4%
,	212	23.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5418	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	559	10.3%
a	531	9.8%
m	481	8.9%
o	481	8.9%
.	481	8.9%
i	402	7.4%
c	241	4.4%
A	240	4.4%
z	240	4.4%
p	212	3.9%
Other values (12)	1550	28.6%

Customer privacy
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	71
Amazon.in, Flipkart.com	54
Amazon.in, Flipkart.com, Myntra.com	25
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	24
Paytm.com	18
Other values (6)	77

Length

Max length	60
Median length	49
Mean length	23.44609665
Min length	9

Characters and Unicode

Total characters	6307
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Myntra.com
3rd row	Amazon.in
4th row	Amazon.in, Flipkart.com, Myntra.com
5th row	Amazon.in, Paytm.com

Common Values

Value	Count	Frequency (%)
Amazon.in	71	26.4%
Amazon.in, Flipkart.com	54	20.1%
Amazon.in, Flipkart.com, Myntra.com	25	9.3%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	24	8.9%
Paytm.com	18	6.7%
Myntra.com	15	5.6%
Amazon.in, Paytm.com	15	5.6%
Flipkart.com	15	5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%
Amazon.in, Flipkart.com, Paytm.com	11	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
amazon.in	221	39.3%
flipkart.com	150	26.7%
myntra.com	78	13.9%
paytm.com	68	12.1%
snapdeal.com	45	8.0%

Most occurring characters

Value	Count	Frequency (%)
m	630	10.0%
a	607	9.6%
n	565	9.0%
o	562	8.9%
.	562	8.9%
i	371	5.9%
c	341	5.4%
t	296	4.7%
,	293	4.6%
	293	4.6%
Other values (13)	1787	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4597	72.9%
Other Punctuation	855	13.6%
Uppercase Letter	562	8.9%
Space Separator	293	4.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	630	13.7%
a	607	13.2%
n	565	12.3%
o	562	12.2%
i	371	8.1%
c	341	7.4%
t	296	6.4%
r	228	5.0%
z	221	4.8%
l	195	4.2%
Other values (5)	581	12.6%

Uppercase Letter

Value	Count	Frequency (%)
A	221	39.3%
F	150	26.7%
M	78	13.9%
P	68	12.1%
S	45	8.0%

Other Punctuation

Value	Count	Frequency (%)
.	562	65.7%
,	293	34.3%

Space Separator

Value	Count	Frequency (%)
	293	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5159	81.8%
Common	1148	18.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	630	12.2%
a	607	11.8%
n	565	11.0%
o	562	10.9%
i	371	7.2%
c	341	6.6%
t	296	5.7%
r	228	4.4%
A	221	4.3%
z	221	4.3%
Other values (10)	1117	21.7%

Common

Value	Count	Frequency (%)
.	562	49.0%
,	293	25.5%
	293	25.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6307	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	630	10.0%
a	607	9.6%
n	565	9.0%
o	562	8.9%
.	562	8.9%
i	371	5.9%
c	341	5.4%
t	296	4.7%
,	293	4.6%
	293	4.6%
Other values (13)	1787	28.3%

Security on payment details
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	51
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	42
Flipkart.com	33
Amazon.in, Flipkart.com, Snapdeal.com	25
Amazon.in, Flipkart.com	24
Other values (6)	94

Length

Max length	60
Median length	37
Mean length	27.04089219
Min length	9

Characters and Unicode

Total characters	7274
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Myntra.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com, Snapdeal.com
5th row	Paytm.com

Common Values

Value	Count	Frequency (%)
Amazon.in	51	19.0%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	42	15.6%
Flipkart.com	33	12.3%
Amazon.in, Flipkart.com, Snapdeal.com	25	9.3%
Amazon.in, Flipkart.com	24	8.9%
Amazon.in, Paytm.com, Myntra.com	20	7.4%
Amazon.in, Snapdeal.com	19	7.1%
Myntra.com	15	5.6%
Paytm.com	15	5.6%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	14	5.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
amazon.in	206	32.5%
flipkart.com	149	23.5%
snapdeal.com	100	15.8%
myntra.com	91	14.4%
paytm.com	88	13.9%

Most occurring characters

Value	Count	Frequency (%)
a	734	10.1%
m	722	9.9%
o	634	8.7%
.	634	8.7%
n	603	8.3%
c	428	5.9%
,	365	5.0%
	365	5.0%
i	355	4.9%
t	328	4.5%
Other values (13)	2106	29.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	5276	72.5%
Other Punctuation	999	13.7%
Uppercase Letter	634	8.7%
Space Separator	365	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	734	13.9%
m	722	13.7%
o	634	12.0%
n	603	11.4%
c	428	8.1%
i	355	6.7%
t	328	6.2%
l	249	4.7%
p	249	4.7%
r	240	4.5%
Other values (5)	734	13.9%

Uppercase Letter

Value	Count	Frequency (%)
A	206	32.5%
F	149	23.5%
S	100	15.8%
M	91	14.4%
P	88	13.9%

Other Punctuation

Value	Count	Frequency (%)
.	634	63.5%
,	365	36.5%

Space Separator

Value	Count	Frequency (%)
	365	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5910	81.2%
Common	1364	18.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	734	12.4%
m	722	12.2%
o	634	10.7%
n	603	10.2%
c	428	7.2%
i	355	6.0%
t	328	5.5%
l	249	4.2%
p	249	4.2%
r	240	4.1%
Other values (10)	1368	23.1%

Common

Value	Count	Frequency (%)
.	634	46.5%
,	365	26.8%
	365	26.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	7274	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	734	10.1%
m	722	9.9%
o	634	8.7%
.	634	8.7%
n	603	8.3%
c	428	5.9%
,	365	5.0%
	365	5.0%
i	355	4.9%
t	328	4.5%
Other values (13)	2106	29.0%

Trust worthiness
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	3.3%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	76
Amazon.in, Flipkart.com, Snapdeal.com	36
Amazon.in, Myntra.com	35
Amazon.in, Flipkart.com	31
Flipkart.com	27
Other values (4)	64

Length

Max length	60
Median length	37
Mean length	23.48327138
Min length	9

Characters and Unicode

Total characters	6317
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	Myntra.com
3rd row	Amazon.in, Myntra.com
4th row	Amazon.in, Flipkart.com, Snapdeal.com
5th row	Amazon.in, Myntra.com

Common Values

Value	Count	Frequency (%)
Amazon.in	76	28.3%
Amazon.in, Flipkart.com, Snapdeal.com	36	13.4%
Amazon.in, Myntra.com	35	13.0%
Amazon.in, Flipkart.com	31	11.5%
Flipkart.com	27	10.0%
Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	25	9.3%
Myntra.com	15	5.6%
Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	13	4.8%
Amazon.in, Flipkart.com, Paytm.com	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	227	40.8%
flipkart.com	143	25.7%
myntra.com	88	15.8%
snapdeal.com	74	13.3%
paytm.com	24	4.3%

Most occurring characters

Value	Count	Frequency (%)
a	630	10.0%
n	616	9.8%
m	580	9.2%
o	556	8.8%
.	556	8.8%
i	370	5.9%
c	329	5.2%
,	287	4.5%
	287	4.5%
t	255	4.0%
Other values (13)	1851	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4631	73.3%
Other Punctuation	843	13.3%
Uppercase Letter	556	8.8%
Space Separator	287	4.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	630	13.6%
n	616	13.3%
m	580	12.5%
o	556	12.0%
i	370	8.0%
c	329	7.1%
t	255	5.5%
r	231	5.0%
z	227	4.9%
l	217	4.7%
Other values (5)	620	13.4%

Uppercase Letter

Value	Count	Frequency (%)
A	227	40.8%
F	143	25.7%
M	88	15.8%
S	74	13.3%
P	24	4.3%

Other Punctuation

Value	Count	Frequency (%)
.	556	66.0%
,	287	34.0%

Space Separator

Value	Count	Frequency (%)
	287	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5187	82.1%
Common	1130	17.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	630	12.1%
n	616	11.9%
m	580	11.2%
o	556	10.7%
i	370	7.1%
c	329	6.3%
t	255	4.9%
r	231	4.5%
A	227	4.4%
z	227	4.4%
Other values (10)	1166	22.5%

Common

Value	Count	Frequency (%)
.	556	49.2%
,	287	25.4%
	287	25.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6317	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	630	10.0%
n	616	9.8%
m	580	9.2%
o	556	8.8%
.	556	8.8%
i	370	5.9%
c	329	5.2%
,	287	4.5%
	287	4.5%
t	255	4.0%
Other values (13)	1851	29.3%

Online presence of support team
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com, Myntra.com, Snapdeal	61
Amazon.in	60
Amazon.in, Flipkart.com	39
Amazon.in, Snapdeal	26
Myntra.com	20
Other values (5)	63

Length

Max length	45
Median length	34
Mean length	23.65055762
Min length	9

Characters and Unicode

Total characters	6362
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Paytm.com
2nd row	Amazon.in, Flipkart.com, Myntra.com
3rd row	Myntra.com
4th row	Amazon.in, Flipkart.com, Myntra.com, Snapdeal
5th row	Amazon.in, Myntra.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com, Myntra.com, Snapdeal	61	22.7%
Amazon.in	60	22.3%
Amazon.in, Flipkart.com	39	14.5%
Amazon.in, Snapdeal	26	9.7%
Myntra.com	20	7.4%
Amazon.in, Flipkart.com, Myntra.com	15	5.6%
Amazon.in, Myntra.com	15	5.6%
Amazon.in, Flipkart.com, Paytm.com	13	4.8%
Paytm.com	12	4.5%
Flipkart.com	8	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	229	38.9%
flipkart.com	136	23.1%
myntra.com	111	18.9%
snapdeal	87	14.8%
paytm.com	25	4.3%

Most occurring characters

Value	Count	Frequency (%)
a	675	10.6%
n	656	10.3%
m	526	8.3%
o	501	7.9%
.	501	7.9%
i	365	5.7%
,	319	5.0%
	319	5.0%
c	272	4.3%
t	272	4.3%
Other values (13)	1956	30.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4635	72.9%
Other Punctuation	820	12.9%
Uppercase Letter	588	9.2%
Space Separator	319	5.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	675	14.6%
n	656	14.2%
m	526	11.3%
o	501	10.8%
i	365	7.9%
c	272	5.9%
t	272	5.9%
r	247	5.3%
z	229	4.9%
l	223	4.8%
Other values (5)	669	14.4%

Uppercase Letter

Value	Count	Frequency (%)
A	229	38.9%
F	136	23.1%
M	111	18.9%
S	87	14.8%
P	25	4.3%

Other Punctuation

Value	Count	Frequency (%)
.	501	61.1%
,	319	38.9%

Space Separator

Value	Count	Frequency (%)
	319	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5223	82.1%
Common	1139	17.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	675	12.9%
n	656	12.6%
m	526	10.1%
o	501	9.6%
i	365	7.0%
c	272	5.2%
t	272	5.2%
r	247	4.7%
A	229	4.4%
z	229	4.4%
Other values (10)	1251	24.0%

Common

Value	Count	Frequency (%)
.	501	44.0%
,	319	28.0%
	319	28.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6362	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	675	10.6%
n	656	10.3%
m	526	8.3%
o	501	7.9%
.	501	7.9%
i	365	5.7%
,	319	5.0%
	319	5.0%
c	272	4.3%
t	272	4.3%
Other values (13)	1956	30.7%

Time to login website on special offer days
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	57
Amazon.in, Flipkart.com	38
Paytm.com	38
Myntra.com	35
Amazon.in, Flipkart.com, Snapdeal.com	29
Other values (5)	72

Length

Max length	37
Median length	23
Mean length	17.07806691
Min length	9

Characters and Unicode

Total characters	4594
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Amazon.in, Flipkart.com
3rd row	Myntra.com
4th row	Snapdeal.com
5th row	Flipkart.com, Paytm.com

Common Values

Value	Count	Frequency (%)
Amazon.in	57	21.2%
Amazon.in, Flipkart.com	38	14.1%
Paytm.com	38	14.1%
Myntra.com	35	13.0%
Amazon.in, Flipkart.com, Snapdeal.com	29	10.8%
Snapdeal.com	25	9.3%
Flipkart.com, Paytm.com	15	5.6%
Flipkart.com, Paytm.com, Snapdeal.com	13	4.8%
Amazon.in, Paytm.com	11	4.1%
Flipkart.com	8	3.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	135	32.4%
flipkart.com	103	24.7%
paytm.com	77	18.5%
snapdeal.com	67	16.1%
myntra.com	35	8.4%

Most occurring characters

Value	Count	Frequency (%)
m	494	10.8%
a	484	10.5%
o	417	9.1%
.	417	9.1%
n	372	8.1%
c	282	6.1%
i	238	5.2%
t	215	4.7%
l	170	3.7%
p	170	3.7%
Other values (13)	1335	29.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3464	75.4%
Other Punctuation	565	12.3%
Uppercase Letter	417	9.1%
Space Separator	148	3.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	494	14.3%
a	484	14.0%
o	417	12.0%
n	372	10.7%
c	282	8.1%
i	238	6.9%
t	215	6.2%
l	170	4.9%
p	170	4.9%
r	138	4.0%
Other values (5)	484	14.0%

Uppercase Letter

Value	Count	Frequency (%)
A	135	32.4%
F	103	24.7%
P	77	18.5%
S	67	16.1%
M	35	8.4%

Other Punctuation

Value	Count	Frequency (%)
.	417	73.8%
,	148	26.2%

Space Separator

Value	Count	Frequency (%)
	148	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3881	84.5%
Common	713	15.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	494	12.7%
a	484	12.5%
o	417	10.7%
n	372	9.6%
c	282	7.3%
i	238	6.1%
t	215	5.5%
l	170	4.4%
p	170	4.4%
r	138	3.6%
Other values (10)	901	23.2%

Common

Value	Count	Frequency (%)
.	417	58.5%
,	148	20.8%
	148	20.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4594	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	494	10.8%
a	484	10.5%
o	417	9.1%
.	417	9.1%
n	372	8.1%
c	282	6.1%
i	238	5.2%
t	215	4.7%
l	170	3.7%
p	170	3.7%
Other values (13)	1335	29.1%

Time to load media on special offer days
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	3.7%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in, Flipkart.com	60
Amazon.in	39
Myntra.com	35
Snapdeal.com	34
Myntra.com, Snapdeal.com	25
Other values (5)	76

Length

Max length	35
Median length	24
Mean length	17.27881041
Min length	9

Characters and Unicode

Total characters	4648
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Myntra.com
3rd row	Myntra.com
4th row	Myntra.com, Snapdeal.com
5th row	Paytm.com

Common Values

Value	Count	Frequency (%)
Amazon.in, Flipkart.com	60	22.3%
Amazon.in	39	14.5%
Myntra.com	35	13.0%
Snapdeal.com	34	12.6%
Myntra.com, Snapdeal.com	25	9.3%
Flipkart.com, Snapdeal.com	19	7.1%
Paytm.com	15	5.6%
Flipkart.com	15	5.6%
Amazon.in, Myntra.com, Snapdeal.com	14	5.2%
Amazon.in, Paytm.com	13	4.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	126	30.4%
flipkart.com	94	22.7%
snapdeal.com	92	22.2%
myntra.com	74	17.9%
paytm.com	28	6.8%

Most occurring characters

Value	Count	Frequency (%)
a	506	10.9%
m	442	9.5%
n	418	9.0%
o	414	8.9%
.	414	8.9%
c	288	6.2%
i	220	4.7%
t	196	4.2%
l	186	4.0%
p	186	4.0%
Other values (13)	1378	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3530	75.9%
Other Punctuation	559	12.0%
Uppercase Letter	414	8.9%
Space Separator	145	3.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	506	14.3%
m	442	12.5%
n	418	11.8%
o	414	11.7%
c	288	8.2%
i	220	6.2%
t	196	5.6%
l	186	5.3%
p	186	5.3%
r	168	4.8%
Other values (5)	506	14.3%

Uppercase Letter

Value	Count	Frequency (%)
A	126	30.4%
F	94	22.7%
S	92	22.2%
M	74	17.9%
P	28	6.8%

Other Punctuation

Value	Count	Frequency (%)
.	414	74.1%
,	145	25.9%

Space Separator

Value	Count	Frequency (%)
	145	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3944	84.9%
Common	704	15.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	506	12.8%
m	442	11.2%
n	418	10.6%
o	414	10.5%
c	288	7.3%
i	220	5.6%
t	196	5.0%
l	186	4.7%
p	186	4.7%
r	168	4.3%
Other values (10)	920	23.3%

Common

Value	Count	Frequency (%)
.	414	58.8%
,	145	20.6%
	145	20.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4648	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	506	10.9%
m	442	9.5%
n	418	9.0%
o	414	8.9%
.	414	8.9%
c	288	6.2%
i	220	4.7%
t	196	4.2%
l	186	4.0%
p	186	4.0%
Other values (13)	1378	29.6%

Delay in declaring special offer details
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Myntra.com	75
Paytm.com	52
snapdeal.com	41
Flipkart.com	38
Amazon.in	38
Other values (3)	25

Length

Max length	23
Median length	20
Mean length	11.31598513
Min length	9

Characters and Unicode

Total characters	3044
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	snapdeal.com
3rd row	Myntra.com
4th row	Myntra.com
5th row	Paytm.com

Common Values

Value	Count	Frequency (%)
Myntra.com	75	27.9%
Paytm.com	52	19.3%
snapdeal.com	41	15.2%
Flipkart.com	38	14.1%
Amazon.in	38	14.1%
Amazon.in, Paytm.com	13	4.8%
Paytm.com, snapdeal.com	7	2.6%
Amazon.in, Flipkart.com	5	1.9%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
myntra.com	75	25.5%
paytm.com	72	24.5%
amazon.in	56	19.0%
snapdeal.com	48	16.3%
flipkart.com	43	14.6%

Most occurring characters

Value	Count	Frequency (%)
m	366	12.0%
a	342	11.2%
.	294	9.7%
o	294	9.7%
c	238	7.8%
n	235	7.7%
t	190	6.2%
y	147	4.8%
r	118	3.9%
i	99	3.3%
Other values (13)	721	23.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2454	80.6%
Other Punctuation	319	10.5%
Uppercase Letter	246	8.1%
Space Separator	25	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	366	14.9%
a	342	13.9%
o	294	12.0%
c	238	9.7%
n	235	9.6%
t	190	7.7%
y	147	6.0%
r	118	4.8%
i	99	4.0%
p	91	3.7%
Other values (6)	334	13.6%

Uppercase Letter

Value	Count	Frequency (%)
M	75	30.5%
P	72	29.3%
A	56	22.8%
F	43	17.5%

Other Punctuation

Value	Count	Frequency (%)
.	294	92.2%
,	25	7.8%

Space Separator

Value	Count	Frequency (%)
	25	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2700	88.7%
Common	344	11.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	366	13.6%
a	342	12.7%
o	294	10.9%
c	238	8.8%
n	235	8.7%
t	190	7.0%
y	147	5.4%
r	118	4.4%
i	99	3.7%
p	91	3.4%
Other values (10)	580	21.5%

Common

Value	Count	Frequency (%)
.	294	85.5%
,	25	7.3%
	25	7.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3044	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	366	12.0%
a	342	11.2%
.	294	9.7%
o	294	9.7%
c	238	7.8%
n	235	7.7%
t	190	6.2%
y	147	4.8%
r	118	3.9%
i	99	3.3%
Other values (13)	721	23.7%

Time to load website on special offer days
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	11
Distinct (%)	4.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Myntra.com	61
Paytm.com	59
Flipkart.com	32
Snapdeal.com	23
Amazon.in, Flipkart.com	18
Other values (6)	76

Length

Max length	32
Median length	26
Mean length	14.11152416
Min length	9

Characters and Unicode

Total characters	3796
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	Snapdeal.com
3rd row	Myntra.com
4th row	Paytm.com
5th row	Paytm.com

Common Values

Value	Count	Frequency (%)
Myntra.com	61	22.7%
Paytm.com	59	21.9%
Flipkart.com	32	11.9%
Snapdeal.com	23	8.6%
Amazon.in, Flipkart.com	18	6.7%
Amazon.in	16	5.9%
Paytm.com, Snapdeal.com	15	5.6%
Amazon.in, Snapdeal.com	14	5.2%
Amazon.in, Paytm.com	13	4.8%
Flipkart.com, Snapdeal.com	11	4.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
paytm.com	94	26.6%
myntra.com	68	19.2%
amazon.in	68	19.2%
snapdeal.com	63	17.8%
flipkart.com	61	17.2%

Most occurring characters

Value	Count	Frequency (%)
m	448	11.8%
a	417	11.0%
o	354	9.3%
.	354	9.3%
c	286	7.5%
n	267	7.0%
t	223	5.9%
y	162	4.3%
r	129	3.4%
i	129	3.4%
Other values (13)	1027	27.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2918	76.9%
Other Punctuation	439	11.6%
Uppercase Letter	354	9.3%
Space Separator	85	2.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	448	15.4%
a	417	14.3%
o	354	12.1%
c	286	9.8%
n	267	9.2%
t	223	7.6%
y	162	5.6%
r	129	4.4%
i	129	4.4%
p	124	4.2%
Other values (5)	379	13.0%

Uppercase Letter

Value	Count	Frequency (%)
P	94	26.6%
A	68	19.2%
M	68	19.2%
S	63	17.8%
F	61	17.2%

Other Punctuation

Value	Count	Frequency (%)
.	354	80.6%
,	85	19.4%

Space Separator

Value	Count	Frequency (%)
	85	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3272	86.2%
Common	524	13.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	448	13.7%
a	417	12.7%
o	354	10.8%
c	286	8.7%
n	267	8.2%
t	223	6.8%
y	162	5.0%
r	129	3.9%
i	129	3.9%
p	124	3.8%
Other values (10)	733	22.4%

Common

Value	Count	Frequency (%)
.	354	67.6%
,	85	16.2%
	85	16.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3796	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	448	11.8%
a	417	11.0%
o	354	9.3%
.	354	9.3%
c	286	7.5%
n	267	7.0%
t	223	5.9%
y	162	4.3%
r	129	3.4%
i	129	3.4%
Other values (13)	1027	27.1%

Limited mode of payment on special offer days
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Snapdeal.com	87
Amazon.in	62
Flipkart.com	31
Amazon.in, Flipkart.com	29
Paytm.com	25
Other values (3)	35

Length

Max length	24
Median length	23
Mean length	13.52788104
Min length	9

Characters and Unicode

Total characters	3639
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Snapdeal.com
3rd row	Amazon.in
4th row	Paytm.com
5th row	Snapdeal.com

Common Values

Value	Count	Frequency (%)
Snapdeal.com	87	32.3%
Amazon.in	62	23.0%
Flipkart.com	31	11.5%
Amazon.in, Flipkart.com	29	10.8%
Paytm.com	25	9.3%
Paytm.com, Snapdeal.com	15	5.6%
Amazon.in, Paytm.com	13	4.8%
Myntra.com, Snapdeal.com	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
snapdeal.com	109	32.7%
amazon.in	104	31.2%
flipkart.com	60	18.0%
paytm.com	53	15.9%
myntra.com	7	2.1%

Most occurring characters

Value	Count	Frequency (%)
a	442	12.1%
m	386	10.6%
.	333	9.2%
o	333	9.2%
n	324	8.9%
c	229	6.3%
p	169	4.6%
l	169	4.6%
i	164	4.5%
t	120	3.3%
Other values (13)	970	26.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2845	78.2%
Other Punctuation	397	10.9%
Uppercase Letter	333	9.2%
Space Separator	64	1.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	442	15.5%
m	386	13.6%
o	333	11.7%
n	324	11.4%
c	229	8.0%
p	169	5.9%
l	169	5.9%
i	164	5.8%
t	120	4.2%
d	109	3.8%
Other values (5)	400	14.1%

Uppercase Letter

Value	Count	Frequency (%)
S	109	32.7%
A	104	31.2%
F	60	18.0%
P	53	15.9%
M	7	2.1%

Other Punctuation

Value	Count	Frequency (%)
.	333	83.9%
,	64	16.1%

Space Separator

Value	Count	Frequency (%)
	64	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3178	87.3%
Common	461	12.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	442	13.9%
m	386	12.1%
o	333	10.5%
n	324	10.2%
c	229	7.2%
p	169	5.3%
l	169	5.3%
i	164	5.2%
t	120	3.8%
S	109	3.4%
Other values (10)	733	23.1%

Common

Value	Count	Frequency (%)
.	333	72.2%
,	64	13.9%
	64	13.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3639	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	442	12.1%
m	386	10.6%
.	333	9.2%
o	333	9.2%
n	324	8.9%
c	229	6.3%
p	169	4.6%
l	169	4.6%
i	164	4.5%
t	120	3.3%
Other values (13)	970	26.7%

Delayed product delivery
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	6
Distinct (%)	2.2%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Paytm.com	72
Snapdeal.com	64
Flipkart.com	44
Amazon.in	37
Paytm.com, Snapdeal.com	26

Length

Max length	23
Median length	12
Mean length	11.65427509
Min length	9

Characters and Unicode

Total characters	3135
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Paytm.com
2nd row	Snapdeal.com
3rd row	Paytm.com
4th row	Paytm.com
5th row	Paytm.com

Common Values

Value	Count	Frequency (%)
Paytm.com	72	26.8%
Snapdeal.com	64	23.8%
Flipkart.com	44	16.4%
Amazon.in	37	13.8%
Paytm.com, Snapdeal.com	26	9.7%
Myntra.com	26	9.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
paytm.com	98	33.2%
snapdeal.com	90	30.5%
flipkart.com	44	14.9%
amazon.in	37	12.5%
myntra.com	26	8.8%

Most occurring characters

Value	Count	Frequency (%)
m	393	12.5%
a	385	12.3%
.	295	9.4%
o	295	9.4%
c	258	8.2%
n	190	6.1%
t	168	5.4%
l	134	4.3%
p	134	4.3%
y	124	4.0%
Other values (13)	759	24.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2493	79.5%
Other Punctuation	321	10.2%
Uppercase Letter	295	9.4%
Space Separator	26	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	393	15.8%
a	385	15.4%
o	295	11.8%
c	258	10.3%
n	190	7.6%
t	168	6.7%
l	134	5.4%
p	134	5.4%
y	124	5.0%
e	90	3.6%
Other values (5)	322	12.9%

Uppercase Letter

Value	Count	Frequency (%)
P	98	33.2%
S	90	30.5%
F	44	14.9%
A	37	12.5%
M	26	8.8%

Other Punctuation

Value	Count	Frequency (%)
.	295	91.9%
,	26	8.1%

Space Separator

Value	Count	Frequency (%)
	26	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2788	88.9%
Common	347	11.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	393	14.1%
a	385	13.8%
o	295	10.6%
c	258	9.3%
n	190	6.8%
t	168	6.0%
l	134	4.8%
p	134	4.8%
y	124	4.4%
P	98	3.5%
Other values (10)	609	21.8%

Common

Value	Count	Frequency (%)
.	295	85.0%
,	26	7.5%
	26	7.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3135	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	393	12.5%
a	385	12.3%
.	295	9.4%
o	295	9.4%
c	258	8.2%
n	190	6.1%
t	168	5.4%
l	134	4.3%
p	134	4.3%
y	124	4.0%
Other values (13)	759	24.2%

Change in GUI
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	7
Distinct (%)	2.6%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	96
Paytm.com	63
Amazon.in, Flipkart.com	45
Myntra.com	30
Flipkart.com	20
Other values (2)	15

Length

Max length	24
Median length	9
Mean length	12.15613383
Min length	9

Characters and Unicode

Total characters	3270
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	Amazon.in
3rd row	Paytm.com
4th row	Amazon.in, Flipkart.com
5th row	Amazon.in

Common Values

Value	Count	Frequency (%)
Amazon.in	96	35.7%
Paytm.com	63	23.4%
Amazon.in, Flipkart.com	45	16.7%
Myntra.com	30	11.2%
Flipkart.com	20	7.4%
Snapdeal.com	8	3.0%
Flipkart.com, Myntra.com	7	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	141	43.9%
flipkart.com	72	22.4%
paytm.com	63	19.6%
myntra.com	37	11.5%
snapdeal.com	8	2.5%

Most occurring characters

Value	Count	Frequency (%)
m	384	11.7%
a	329	10.1%
n	327	10.0%
o	321	9.8%
.	321	9.8%
i	213	6.5%
c	180	5.5%
t	172	5.3%
A	141	4.3%
z	141	4.3%
Other values (13)	741	22.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2524	77.2%
Other Punctuation	373	11.4%
Uppercase Letter	321	9.8%
Space Separator	52	1.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	384	15.2%
a	329	13.0%
n	327	13.0%
o	321	12.7%
i	213	8.4%
c	180	7.1%
t	172	6.8%
z	141	5.6%
r	109	4.3%
y	100	4.0%
Other values (5)	248	9.8%

Uppercase Letter

Value	Count	Frequency (%)
A	141	43.9%
F	72	22.4%
P	63	19.6%
M	37	11.5%
S	8	2.5%

Other Punctuation

Value	Count	Frequency (%)
.	321	86.1%
,	52	13.9%

Space Separator

Value	Count	Frequency (%)
	52	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2845	87.0%
Common	425	13.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	384	13.5%
a	329	11.6%
n	327	11.5%
o	321	11.3%
i	213	7.5%
c	180	6.3%
t	172	6.0%
A	141	5.0%
z	141	5.0%
r	109	3.8%
Other values (10)	528	18.6%

Common

Value	Count	Frequency (%)
.	321	75.5%
,	52	12.2%
	52	12.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3270	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	384	11.7%
a	329	10.1%
n	327	10.0%
o	321	9.8%
.	321	9.8%
i	213	6.5%
c	180	5.5%
t	172	5.3%
A	141	4.3%
z	141	4.3%
Other values (13)	741	22.7%

Issue accessing multiple pages of a website
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	53
Myntra.com	52
Snapdeal.com	49
Paytm.com	39
Flipkart.com	26
Other values (3)	50

Length

Max length	26
Median length	24
Mean length	12.80669145
Min length	9

Characters and Unicode

Total characters	3445
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Myntra.com
3rd row	Paytm.com
4th row	Amazon.in, Flipkart.com
5th row	Snapdeal.com

Common Values

Value	Count	Frequency (%)
Amazon.in	53	19.7%
Myntra.com	52	19.3%
Snapdeal.com	49	18.2%
Paytm.com	39	14.5%
Flipkart.com	26	9.7%
Amazon.in, Flipkart.com	25	9.3%
Myntra.com, Snapdeal.com	14	5.2%
Flipkart.com, Snapdeal.com	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	78	24.5%
snapdeal.com	74	23.2%
myntra.com	66	20.7%
flipkart.com	62	19.4%
paytm.com	39	12.2%

Most occurring characters

Value	Count	Frequency (%)
a	393	11.4%
m	358	10.4%
o	319	9.3%
.	319	9.3%
n	296	8.6%
c	241	7.0%
t	167	4.8%
i	140	4.1%
l	136	3.9%
p	136	3.9%
Other values (13)	940	27.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2707	78.6%
Other Punctuation	369	10.7%
Uppercase Letter	319	9.3%
Space Separator	50	1.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	393	14.5%
m	358	13.2%
o	319	11.8%
n	296	10.9%
c	241	8.9%
t	167	6.2%
i	140	5.2%
l	136	5.0%
p	136	5.0%
r	128	4.7%
Other values (5)	393	14.5%

Uppercase Letter

Value	Count	Frequency (%)
A	78	24.5%
S	74	23.2%
M	66	20.7%
F	62	19.4%
P	39	12.2%

Other Punctuation

Value	Count	Frequency (%)
.	319	86.4%
,	50	13.6%

Space Separator

Value	Count	Frequency (%)
	50	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3026	87.8%
Common	419	12.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	393	13.0%
m	358	11.8%
o	319	10.5%
n	296	9.8%
c	241	8.0%
t	167	5.5%
i	140	4.6%
l	136	4.5%
p	136	4.5%
r	128	4.2%
Other values (10)	712	23.5%

Common

Value	Count	Frequency (%)
.	319	76.1%
,	50	11.9%
	50	11.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3445	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	393	11.4%
m	358	10.4%
o	319	9.3%
.	319	9.3%
n	296	8.6%
c	241	7.0%
t	167	4.8%
i	140	4.1%
l	136	3.9%
p	136	3.9%
Other values (13)	940	27.3%

Efficiency of website at all times
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	94
Flipkart.com	47
Amazon.in, Flipkart.com	45
Amazon.in, Flipkart.com, Paytm.com	25
Amazon.in, Paytm.com	18
Other values (3)	40

Length

Max length	34
Median length	24
Mean length	15.82899628
Min length	9

Characters and Unicode

Total characters	4258
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Amazon.in
2nd row	Amazon.in, Flipkart.com
3rd row	Amazon.in
4th row	Amazon.in, Flipkart.com, Paytm.com
5th row	Paytm.com

Common Values

Value	Count	Frequency (%)
Amazon.in	94	34.9%
Flipkart.com	47	17.5%
Amazon.in, Flipkart.com	45	16.7%
Amazon.in, Flipkart.com, Paytm.com	25	9.3%
Amazon.in, Paytm.com	18	6.7%
Paytm.com	15	5.6%
Myntra.com, Snapdeal.com	14	5.2%
Snapdeal.com	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	182	46.0%
flipkart.com	117	29.5%
paytm.com	58	14.6%
snapdeal.com	25	6.3%
myntra.com	14	3.5%

Most occurring characters

Value	Count	Frequency (%)
m	454	10.7%
a	421	9.9%
n	403	9.5%
o	396	9.3%
.	396	9.3%
i	299	7.0%
c	214	5.0%
t	189	4.4%
A	182	4.3%
z	182	4.3%
Other values (13)	1122	26.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3212	75.4%
Other Punctuation	523	12.3%
Uppercase Letter	396	9.3%
Space Separator	127	3.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	454	14.1%
a	421	13.1%
n	403	12.5%
o	396	12.3%
i	299	9.3%
c	214	6.7%
t	189	5.9%
z	182	5.7%
l	142	4.4%
p	142	4.4%
Other values (5)	370	11.5%

Uppercase Letter

Value	Count	Frequency (%)
A	182	46.0%
F	117	29.5%
P	58	14.6%
S	25	6.3%
M	14	3.5%

Other Punctuation

Value	Count	Frequency (%)
.	396	75.7%
,	127	24.3%

Space Separator

Value	Count	Frequency (%)
	127	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	3608	84.7%
Common	650	15.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	454	12.6%
a	421	11.7%
n	403	11.2%
o	396	11.0%
i	299	8.3%
c	214	5.9%
t	189	5.2%
A	182	5.0%
z	182	5.0%
l	142	3.9%
Other values (10)	726	20.1%

Common

Value	Count	Frequency (%)
.	396	60.9%
,	127	19.5%
	127	19.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4258	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	454	10.7%
a	421	9.9%
n	403	9.5%
o	396	9.3%
.	396	9.3%
i	299	7.0%
c	214	5.0%
t	189	4.4%
A	182	4.3%
z	182	4.3%
Other values (13)	1122	26.4%

Recommendation quotient
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	3.0%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

Amazon.in	79
Amazon.in, Flipkart.com	62
Flipkart.com	39
Amazon.in, Myntra.com	30
Amazon.in, Paytm.com, Myntra.com	20
Other values (3)	39

Length

Max length	49
Median length	35
Mean length	19.32713755
Min length	9

Characters and Unicode

Total characters	5199
Distinct characters	23
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Flipkart.com
2nd row	Amazon.in, Myntra.com
3rd row	Amazon.in, Paytm.com, Myntra.com
4th row	Amazon.in, Flipkart.com
5th row	Amazon.in, Myntra.com

Common Values

Value	Count	Frequency (%)
Amazon.in	79	29.4%
Amazon.in, Flipkart.com	62	23.0%
Flipkart.com	39	14.5%
Amazon.in, Myntra.com	30	11.2%
Amazon.in, Paytm.com, Myntra.com	20	7.4%
Amazon.in, Flipkart.com, Myntra.com	15	5.6%
Amazon.in, Paytm.com	13	4.8%
Flipkart.com, Paytm.com, Myntra.com, snapdeal.com	11	4.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
amazon.in	219	45.9%
flipkart.com	127	26.6%
myntra.com	76	15.9%
paytm.com	44	9.2%
snapdeal.com	11	2.3%

Most occurring characters

Value	Count	Frequency (%)
n	525	10.1%
m	521	10.0%
a	488	9.4%
o	477	9.2%
.	477	9.2%
i	346	6.7%
c	258	5.0%
t	247	4.8%
A	219	4.2%
z	219	4.2%
Other values (13)	1422	27.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3840	73.9%
Other Punctuation	685	13.2%
Uppercase Letter	466	9.0%
Space Separator	208	4.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	525	13.7%
m	521	13.6%
a	488	12.7%
o	477	12.4%
i	346	9.0%
c	258	6.7%
t	247	6.4%
z	219	5.7%
r	203	5.3%
l	138	3.6%
Other values (6)	418	10.9%

Uppercase Letter

Value	Count	Frequency (%)
A	219	47.0%
F	127	27.3%
M	76	16.3%
P	44	9.4%

Other Punctuation

Value	Count	Frequency (%)
.	477	69.6%
,	208	30.4%

Space Separator

Value	Count	Frequency (%)
	208	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4306	82.8%
Common	893	17.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	525	12.2%
m	521	12.1%
a	488	11.3%
o	477	11.1%
i	346	8.0%
c	258	6.0%
t	247	5.7%
A	219	5.1%
z	219	5.1%
r	203	4.7%
Other values (10)	803	18.6%

Common

Value	Count	Frequency (%)
.	477	53.4%
,	208	23.3%
	208	23.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5199	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	525	10.1%
m	521	10.0%
a	488	9.4%
o	477	9.2%
.	477	9.2%
i	346	6.7%
c	258	5.0%
t	247	4.8%
A	219	4.2%
z	219	4.2%
Other values (13)	1422	27.4%

Pin Code

Pin Code

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Matrix

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Gender	Age	City	Pin Code	Online Shopping Duration	Online purchase in past 1 year	Mode of internet access	Device used for internet access	Screen size of mobile	Operating System	Browser	Channel used for 1st visit	Online store access post 1st visit	Time invested to explore and purchase	Preferred payment option	Frequency to abandon purchase from a cart	Reason to abandon purchase from a cart	Shopping website content readability	Importance of product comparison content	Importance of seller and product detail for purchase decision	Clarity on relevant information for products	Ease of navigation on website	Loading and processing speed of website	Ease of access on GUI of website	Convenient/Most used payment methods	On time product delivery	Empathy towards the customer	Privacy guarantee of the customer	29 Responsiveness, availability of several communication channels (email, online rep, twitter, phone etc.)	Offers and Discounts on online shopping	Enjoyment quotient in online shopping	Flexibity in online shopping	Return and Replacement policy	Loyalty program benefits	Quality of website content	User satisfaction	Net benefit	User satisfaction with trust factor	Wide range of products	Relevance in product details	Monetary savings	Frequency of purchase from a seller	Sense of adventure	Social status	Pleasure in shopping from a seller	Fulfill roles from shopping	Value for money	List of online shopping websites	Ease of access on an online website	Website layout	Variety of products on offer	Completeness of product description	Website access speed	Reliability of website	Ease to complete purchase	Payment option availability	Fast delivery	Customer privacy	Security on payment details	Trust worthiness	Online presence of support team	Time to login website on special offer days	Time to load media on special offer days	Delay in declaring special offer details	Time to load website on special offer days	Limited mode of payment on special offer days	Delayed product delivery	Change in GUI	Issue accessing multiple pages of a website	Efficiency of website at all times	Recommendation quotient
0	Male	31-40 years	Delhi	110009	Above 4 years	31-40 times	Dial-up	Desktop	Others	Window/windows Mobile	Google chrome	Search Engine	Search Engine	6-10 mins	E-wallets (Paytm, Freecharge etc.)	Sometimes	Lack of trust	Agree (4)	Indifferent (3)	Indifferent (3)	Agree (4)	Agree (4)	Strongly disagree (1)	Dis-agree (2)	Dis-agree (2)	Disagree (2)	Strongly agree (5)	Agree (4)	Agree (4)	indifferent (3)	Strongly disagree (1)	Dis-agree (2)	Dis-agree (2)	Agree (4)	indifferent (3)	Strongly agree (5)	Agree (4)	Strongly agree (5)	indifferent (3)	indifferent (3)	Disagree (2)	indifferent (3)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Amazon.in, Paytm.com	Paytm.com	Flipkart.com	Flipkart.com	Snapdeal.com	Snapdeal.com	Paytm.com	Paytm.com	Patym.com	Amazon.in	Amazon.in	Amazon.in	Flipkart.com	Paytm.com	Amazon.in	Amazon.in	Flipkart.com	Flipkart.com	Amazon.in	Paytm.com	Flipkart.com	Amazon.in	Amazon.in	Flipkart.com
1	Female	21-30 years	Delhi	110030	Above 4 years	41 times and above	Wi-Fi	Smartphone	4.7 inches	IOS/Mac	Google chrome	Search Engine	Via application	more than 15 mins	Credit/Debit cards	Very frequently	Promo code not applicable	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	indifferent (3)	indifferent (3)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Myntra.com	Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Myntra.com	Myntra.com	Amazon.com, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com	Myntra.com	Myntra.com	Myntra.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com	Myntra.com	snapdeal.com	Snapdeal.com	Snapdeal.com	Snapdeal.com	Amazon.in	Myntra.com	Amazon.in, Flipkart.com	Amazon.in, Myntra.com
2	Female	21-30 years	Greater Noida	201308	3-4 years	41 times and above	Mobile Internet	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	11-15 mins	E-wallets (Paytm, Freecharge etc.)	Sometimes	Promo code not applicable	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com, Myntra.com	Amazon.com, Paytm.com, Myntra.com	Patym.com, Myntra.com	Amazon.in	Amazon.in	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Myntra.com	Myntra.com	Myntra.com	Myntra.com	Myntra.com	Myntra.com	Amazon.in	Paytm.com	Paytm.com	Paytm.com	Amazon.in	Amazon.in, Paytm.com, Myntra.com
3	Male	21-30 years	Karnal	132001	3-4 years	Less than 10 times	Mobile Internet	Smartphone	5.5 inches	IOS/Mac	Safari	Search Engine	Search Engine	6-10 mins	Credit/Debit cards	Never	Better alternative offer	Agree (4)	Agree (4)	Indifferent (3)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	indifferent (3)	Agree (4)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.com, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Snapdeal.com	Myntra.com, Snapdeal.com	Myntra.com	Paytm.com	Paytm.com	Paytm.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com
4	Female	21-30 years	Bangalore	530068	2-3 years	11-20 times	Wi-Fi	Smartphone	4.7 inches	IOS/Mac	Safari	Content Marketing	Via application	more than 15 mins	Credit/Debit cards	Frequently	Better alternative offer	Strongly agree (5)	Indifferent (3)	Indifferent (3)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Dis-agree (2)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	indifferent (3)	Strongly disagree (1)	Strongly agree (5)	Strongly disagree (1)	Strongly agree (5)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Myntra.com	Myntra.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Paytm.com, Myntra.com	Amazon.com, Flipkart.com, Paytm.com, Myntra.com, Snapdeal	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Paytm.com	Paytm.com	Amazon.in, Myntra.com	Amazon.in, Myntra.com	Flipkart.com, Paytm.com	Paytm.com	Paytm.com	Paytm.com	Snapdeal.com	Paytm.com	Amazon.in	Snapdeal.com	Paytm.com	Amazon.in, Myntra.com
5	Female	31-40 years	Noida	201308	Above 4 years	41 times and above	Wi-Fi	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	more than 15 mins	E-wallets (Paytm, Freecharge etc.)	Frequently	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	indifferent (3)	Agree (4)	Strongly agree (5)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Paytm.com	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com	Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com	Flipkart.com	Paytm.com	Flipkart.com	Amazon.in	Amazon.in, Paytm.com
6	Male	41-50 yaers	Delhi	110011	Above 4 years	31-40 times	Wi-Fi	Tablet	Others	Android	Google chrome	Display Adverts	Direct URL	more than 15 mins	Credit/Debit cards	Sometimes	Promo code not applicable	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	Agree (4)	Agree (4)	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in	Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.com, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in	Myntra.com	Myntra.com	Flipkart.com	Snapdeal.com	Myntra.com	Myntra.com	Snapdeal.com	Flipkart.com, Paytm.com, Myntra.com, snapdeal.com
7	Male	41-50 yaers	Delhi	110018	3-4 years	Less than 10 times	Mobile Internet	Desktop	Others	Window/windows Mobile	Google chrome	Search Engine	E-mail	6-10 mins	Credit/Debit cards	Sometimes	Change in price	Strongly disagree (1)	Dis-agree (2)	Dis-agree (2)	Strongly disagree (1)	Strongly disagree (1)	Dis-agree (2)	Strongly disagree (1)	Dis-agree (2)	Disagree (2)	Strongly disagree (1)	indifferent (3)	Strongly agree (5)	Strongly disagree (1)	Strongly disagree (1)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly disagree (1)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly disagree (1)	Strongly disagree (1)	Strongly disagree (1)	Agree (4)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in	Amazon.com	Amazon.in, Flipkart.com	Amazon.in	Paytm.com	Flipkart.com	Amazon.in	Amazon.in	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Paytm.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Flipkart.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in
8	Female	Less than 20 years	Solan	173229	2-3 years	Less than 10 times	Wi-Fi	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Direct URL	1-5 mins	Cash on delivery (CoD)	Sometimes	No preferred mode of payment	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com, Snapdeal	Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Amazon.in	Amazon.in, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Snapdeal.com	Amazon.in	Amazon.in	Amazon.in	Myntra.com, Snapdeal.com	Myntra.com, Snapdeal.com	Amazon.in
9	Female	31-40 years	Delhi	110039	Less than 1 year	Less than 10 times	Wi-Fi	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Search Engine	more than 15 mins	Cash on delivery (CoD)	Sometimes	Lack of trust	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	indifferent (3)	Agree (4)	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.com, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Paytm.com	Amazon.in, Flipkart.com	Paytm.com	Paytm.com	Snapdeal.com	Snapdeal.com	Myntra.com	Myntra.com	Flipkart.com	Flipkart.com

Last rows

	Gender	Age	City	Pin Code	Online Shopping Duration	Online purchase in past 1 year	Mode of internet access	Device used for internet access	Screen size of mobile	Operating System	Browser	Channel used for 1st visit	Online store access post 1st visit	Time invested to explore and purchase	Preferred payment option	Frequency to abandon purchase from a cart	Reason to abandon purchase from a cart	Shopping website content readability	Importance of product comparison content	Importance of seller and product detail for purchase decision	Clarity on relevant information for products	Ease of navigation on website	Loading and processing speed of website	Ease of access on GUI of website	Convenient/Most used payment methods	On time product delivery	Empathy towards the customer	Privacy guarantee of the customer	29 Responsiveness, availability of several communication channels (email, online rep, twitter, phone etc.)	Offers and Discounts on online shopping	Enjoyment quotient in online shopping	Flexibity in online shopping	Return and Replacement policy	Loyalty program benefits	Quality of website content	User satisfaction	Net benefit	User satisfaction with trust factor	Wide range of products	Relevance in product details	Monetary savings	Frequency of purchase from a seller	Sense of adventure	Social status	Pleasure in shopping from a seller	Fulfill roles from shopping	Value for money	List of online shopping websites	Ease of access on an online website	Website layout	Variety of products on offer	Completeness of product description	Website access speed	Reliability of website	Ease to complete purchase	Payment option availability	Fast delivery	Customer privacy	Security on payment details	Trust worthiness	Online presence of support team	Time to login website on special offer days	Time to load media on special offer days	Delay in declaring special offer details	Time to load website on special offer days	Limited mode of payment on special offer days	Delayed product delivery	Change in GUI	Issue accessing multiple pages of a website	Efficiency of website at all times	Recommendation quotient
259	Female	31-40 years	Greater Noida	201310	Above 4 years	11-20 times	Wi-Fi	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Search Engine	11-15 mins	Credit/Debit cards	Sometimes	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Strongly disagree (1)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly disagree (1)	indifferent (3)	indifferent (3)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	indifferent (3)	Dis-agree (2)	Disagree (2)	Agree (4)	Strongly agree (5)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.com, Flipkart.com	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Amazon.in, Flipkart.com, Snapdeal.com	Snapdeal.com	snapdeal.com	Myntra.com	Snapdeal.com	Snapdeal.com	Paytm.com	Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com
260	Female	31-40 years	Noida	201308	Above 4 years	41 times and above	Wi-Fi	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	more than 15 mins	E-wallets (Paytm, Freecharge etc.)	Frequently	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	indifferent (3)	Agree (4)	Strongly agree (5)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Paytm.com	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com	Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com	Flipkart.com	Paytm.com	Flipkart.com	Amazon.in	Amazon.in, Paytm.com
261	Female	21-30 years	Greater Noida	201308	3-4 years	41 times and above	Mobile Internet	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	11-15 mins	E-wallets (Paytm, Freecharge etc.)	Sometimes	Promo code not applicable	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com, Myntra.com	Amazon.com, Paytm.com, Myntra.com	Patym.com, Myntra.com	Amazon.in	Amazon.in	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Myntra.com	Myntra.com	Myntra.com	Myntra.com	Myntra.com	Myntra.com	Amazon.in	Paytm.com	Paytm.com	Paytm.com	Amazon.in	Amazon.in, Paytm.com, Myntra.com
262	Female	21-30 years	Bangalore	560037	2-3 years	11-20 times	Wi-Fi	Smartphone	4.7 inches	IOS/Mac	Safari	Content Marketing	Via application	more than 15 mins	Credit/Debit cards	Frequently	Better alternative offer	Strongly agree (5)	Indifferent (3)	Indifferent (3)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Dis-agree (2)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	indifferent (3)	Strongly disagree (1)	Strongly agree (5)	Strongly disagree (1)	Strongly agree (5)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Myntra.com	Myntra.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Paytm.com, Myntra.com	Amazon.com, Flipkart.com, Paytm.com, Myntra.com, Snapdeal	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Paytm.com	Paytm.com	Amazon.in, Myntra.com	Amazon.in, Myntra.com	Flipkart.com, Paytm.com	Paytm.com	Paytm.com	Paytm.com	Snapdeal.com	Paytm.com	Amazon.in	Snapdeal.com	Paytm.com	Amazon.in, Myntra.com
263	Male	41-50 yaers	Delhi	110018	3-4 years	Less than 10 times	Mobile Internet	Desktop	Others	Window/windows Mobile	Google chrome	Search Engine	E-mail	6-10 mins	Credit/Debit cards	Sometimes	Change in price	Strongly disagree (1)	Dis-agree (2)	Dis-agree (2)	Strongly disagree (1)	Strongly disagree (1)	Dis-agree (2)	Strongly disagree (1)	Dis-agree (2)	Disagree (2)	Strongly disagree (1)	indifferent (3)	Strongly agree (5)	Strongly disagree (1)	Strongly disagree (1)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly disagree (1)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly disagree (1)	Strongly disagree (1)	Strongly disagree (1)	Agree (4)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in	Amazon.com	Amazon.in, Flipkart.com	Amazon.in	Paytm.com	Flipkart.com	Amazon.in	Amazon.in	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Paytm.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Flipkart.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in
264	Female	21-30 years	Solan	173212	1-2 years	Less than 10 times	Mobile Internet	Smartphone	5.5 inches	Android	Opera	Display Adverts	Social Media	more than 15 mins	Cash on delivery (CoD)	Never	Better alternative offer	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	indifferent (3)	Dis-agree (2)	indifferent (3)	indifferent (3)	Dis-agree (2)	indifferent (3)	Agree (4)	Agree (4)	indifferent (3)	Disagree (2)	indifferent (3)	Dis-agree (2)	Agree (4)	indifferent (3)	Agree (4)	indifferent (3)	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in
265	Female	31-40 years	Ghaziabad	201008	1-2 years	31-40 times	Mobile Internet	Smartphone	Others	Android	Google chrome	Search Engine	Via application	Less than 1 min	Cash on delivery (CoD)	Sometimes	Change in price	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Amazon.in, Flipkart.com	Flipkart.com	Amazon.in	Amazon.in	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com
266	Female	41-50 yaers	Bangalore	560010	2-3 years	Less than 10 times	Mobile internet	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Search Engine	more than 15 mins	Credit/Debit cards	Sometimes	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	Agree (4)	indifferent (3)	Agree (4)	Strongly agree (5)	indifferent (3)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	Strongly agree (5)	Agree (4)	Agree (4)	Dis-agree (2)	indifferent (3)	Agree (4)	Agree (4)	Agree (4)	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.com	Amazon.in, Flipkart.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Snapdeal.com	Amazon.in	Snapdeal.com	Snapdeal.com	Snapdeal.com	Snapdeal.com	Snapdeal.com	Amazon.in	Amazon.in
267	Female	Less than 20 years	Solan	173229	2-3 years	Less than 10 times	Wi-Fi	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Direct URL	1-5 mins	Cash on delivery (CoD)	Sometimes	No preferred mode of payment	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com, Snapdeal	Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Amazon.in	Amazon.in, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Snapdeal.com	Amazon.in	Amazon.in	Amazon.in	Myntra.com, Snapdeal.com	Myntra.com, Snapdeal.com	Amazon.in
268	Female	41-50 yaers	Ghaziabad	201009	2-3 years	31-40 times	Mobile Internet	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	11-15 mins	Cash on delivery (CoD)	Never	Promo code not applicable	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in

Most frequently occurring

	Gender	Age	City	Pin Code	Online Shopping Duration	Online purchase in past 1 year	Mode of internet access	Device used for internet access	Screen size of mobile	Operating System	Browser	Channel used for 1st visit	Online store access post 1st visit	Time invested to explore and purchase	Preferred payment option	Frequency to abandon purchase from a cart	Reason to abandon purchase from a cart	Shopping website content readability	Importance of product comparison content	Importance of seller and product detail for purchase decision	Clarity on relevant information for products	Ease of navigation on website	Loading and processing speed of website	Ease of access on GUI of website	Convenient/Most used payment methods	On time product delivery	Empathy towards the customer	Privacy guarantee of the customer	29 Responsiveness, availability of several communication channels (email, online rep, twitter, phone etc.)	Offers and Discounts on online shopping	Enjoyment quotient in online shopping	Flexibity in online shopping	Return and Replacement policy	Loyalty program benefits	Quality of website content	User satisfaction	Net benefit	User satisfaction with trust factor	Wide range of products	Relevance in product details	Monetary savings	Frequency of purchase from a seller	Sense of adventure	Social status	Pleasure in shopping from a seller	Fulfill roles from shopping	Value for money	List of online shopping websites	Ease of access on an online website	Website layout	Variety of products on offer	Completeness of product description	Website access speed	Reliability of website	Ease to complete purchase	Payment option availability	Fast delivery	Customer privacy	Security on payment details	Trust worthiness	Online presence of support team	Time to login website on special offer days	Time to load media on special offer days	Delay in declaring special offer details	Time to load website on special offer days	Limited mode of payment on special offer days	Delayed product delivery	Change in GUI	Issue accessing multiple pages of a website	Efficiency of website at all times	Recommendation quotient	# duplicates
39	Female	Less than 20 years	Solan	173229	2-3 years	Less than 10 times	Wi-Fi	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Direct URL	1-5 mins	Cash on delivery (CoD)	Sometimes	No preferred mode of payment	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com, Snapdeal	Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Amazon.in	Amazon.in, Myntra.com, Snapdeal.com	Amazon.in	Amazon.in, Snapdeal.com	Amazon.in	Amazon.in	Amazon.in	Myntra.com, Snapdeal.com	Myntra.com, Snapdeal.com	Amazon.in	8
7	Female	21-30 years	Greater Noida	201308	3-4 years	41 times and above	Mobile Internet	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	11-15 mins	E-wallets (Paytm, Freecharge etc.)	Sometimes	Promo code not applicable	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Myntra.com	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Paytm.com	Amazon.in, Paytm.com, Myntra.com	Amazon.com, Paytm.com, Myntra.com	Patym.com, Myntra.com	Amazon.in	Amazon.in	Amazon.in, Paytm.com, Myntra.com	Amazon.in, Myntra.com	Myntra.com	Myntra.com	Myntra.com	Myntra.com	Myntra.com	Amazon.in	Paytm.com	Paytm.com	Paytm.com	Amazon.in	Amazon.in, Paytm.com, Myntra.com	7
20	Female	31-40 years	Greater Noida	201310	Above 4 years	11-20 times	Wi-Fi	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Search Engine	11-15 mins	Credit/Debit cards	Sometimes	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Strongly disagree (1)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly disagree (1)	indifferent (3)	indifferent (3)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	indifferent (3)	Dis-agree (2)	Disagree (2)	Agree (4)	Strongly agree (5)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.com, Flipkart.com	Amazon.in, Flipkart.com, Patym.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Amazon.in, Flipkart.com, Snapdeal.com	Snapdeal.com	snapdeal.com	Myntra.com	Snapdeal.com	Snapdeal.com	Paytm.com	Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	7
34	Female	41-50 yaers	Noida	201308	Above 4 years	Less than 10 times	Wi-Fi	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Direct URL	more than 15 mins	Credit/Debit cards	Sometimes	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	Dis-agree (2)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	indifferent (3)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	Dis-agree (2)	Agree (4)	Agree (4)	indifferent (3)	Agree (4)	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in	Amazon.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Snapdeal.com	Amazon.in	Amazon.in, Snapdeal	Paytm.com	Flipkart.com, Snapdeal.com	Myntra.com	Myntra.com	Snapdeal.com	Myntra.com	Paytm.com	Paytm.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	7
37	Female	51 years and above	Gurgaon	122018	2-3 years	Less than 10 times	Wi-Fi	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Direct URL	more than 15 mins	Credit/Debit cards	Sometimes	Better alternative offer	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	indifferent (3)	Agree (4)	Dis-agree (2)	indifferent (3)	indifferent (3)	Dis-agree (2)	Agree (4)	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal.com	Flipkart.com, Myntra.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com	Amazon.com, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in, Flipkart.com	Myntra.com	Snapdeal.com	snapdeal.com	Paytm.com, Snapdeal.com	Paytm.com, Snapdeal.com	Paytm.com, Snapdeal.com	Amazon.in, Flipkart.com	Snapdeal.com	Flipkart.com	Amazon.in, Flipkart.com, Myntra.com	7
42	Male	21-30 years	Karnal	132001	3-4 years	Less than 10 times	Mobile Internet	Smartphone	5.5 inches	IOS/Mac	Safari	Search Engine	Search Engine	6-10 mins	Credit/Debit cards	Never	Better alternative offer	Agree (4)	Agree (4)	Indifferent (3)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	indifferent (3)	Agree (4)	indifferent (3)	Agree (4)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	indifferent (3)	Agree (4)	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Myntra.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.com, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com, Myntra.com, Snapdeal	Snapdeal.com	Myntra.com, Snapdeal.com	Myntra.com	Paytm.com	Paytm.com	Paytm.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com	7
12	Female	21-30 years	Solan	173212	1-2 years	Less than 10 times	Mobile Internet	Smartphone	5.5 inches	Android	Opera	Display Adverts	Social Media	more than 15 mins	Cash on delivery (CoD)	Never	Better alternative offer	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	Agree (4)	indifferent (3)	indifferent (3)	indifferent (3)	Dis-agree (2)	indifferent (3)	indifferent (3)	Dis-agree (2)	indifferent (3)	Agree (4)	Agree (4)	indifferent (3)	Disagree (2)	indifferent (3)	Dis-agree (2)	Agree (4)	indifferent (3)	Agree (4)	indifferent (3)	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	5
17	Female	31-40 years	Ghaziabad	201008	1-2 years	31-40 times	Mobile Internet	Smartphone	Others	Android	Google chrome	Search Engine	Via application	Less than 1 min	Cash on delivery (CoD)	Sometimes	Change in price	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Amazon.in, Flipkart.com	Flipkart.com	Amazon.in	Amazon.in	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	Flipkart.com	5
29	Female	41-50 yaers	Ghaziabad	201009	2-3 years	31-40 times	Mobile Internet	Smartphone	5.5 inches	Android	Google chrome	Search Engine	Via application	11-15 mins	Cash on delivery (CoD)	Never	Promo code not applicable	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Strongly agree (5)	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.com	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	Amazon.in	5
47	Male	31-40 years	Moradabad	244001	Above 4 years	21-30 times	Mobile Internet	Laptop	Others	Window/windows Mobile	Google chrome	Search Engine	Direct URL	6-10 mins	Credit/Debit cards	Sometimes	Change in price	Strongly agree (5)	Indifferent (3)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Agree (4)	Strongly agree (5)	Agree (4)	Strongly agree (5)	Agree (4)	Dis-agree (2)	indifferent (3)	Agree (4)	Strongly agree (5)	Strongly disagree (1)	indifferent (3)	Agree (4)	Dis-agree (2)	Strongly agree (5)	indifferent (3)	Agree (4)	Disagree (2)	indifferent (3)	Agree (4)	Dis-agree (2)	Disagree (2)	Agree (4)	indifferent (3)	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Flipkart.com, Paytm.com, Snapdeal.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Paytm.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.com, Flipkart.com, Paytm.com	Amazon.in, Patym.com	Amazon.in, Flipkart.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in, Flipkart.com, Paytm.com	Amazon.in	Amazon.in, Paytm.com	Amazon.in, Flipkart.com	Flipkart.com	Flipkart.com, Snapdeal.com	Amazon.in, Flipkart.com	Paytm.com, Snapdeal.com	Amazon.in	Flipkart.com, Snapdeal.com	Amazon.in, Paytm.com	Amazon.in	5

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Dash Punctuation

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Uppercase Letter

Dash Punctuation

Most occurring scripts

Most frequent character per script